Roger Gorman writes about workforce orchestration at ProFinda, focusing on how organizations coordinate people, skills, work, and AI agents—especially in professional services.
The hard problem is orchestration, not building AI agents · Resourcing should be the control plane for mixing humans and agents · A skills and work foundation comes before the agentic business
Roger Gorman writes about how organizations can coordinate people, skills, work and AI agents, particularly in professional services.
In three LinkedIn posts connected to ProFinda, they argue that the challenge is not just building AI agents but organizing how humans and agents work together.
Their posts move from a skills-first foundation toward redesigning work around that combined workforce.
Follow their work for an executive-facing view of workforce orchestration and the practical questions it raises.
Gorman connects broad claims about AI and the future of work to organizational decisions: how to plan skills and capacity, decide what agents should do, preserve human responsibilities and avoid adding complexity.
At a Chicago event, they used questions and contrasts—“car crash” or “elegant ballet,” for example—to make those choices discussable.
Their post after TED2026 adds a theme of human connection.
Claims about large deployments and workers matched to projects are their own; ask for supporting evidence before relying on them.
Roger Gorman's posts argue that the difficult enterprise problem is not building AI agents but orchestrating a mixed workforce of people and agents.
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They treat resourcing optimisation as the control layer, say skills and work data must come first, and keep human judgment and connection as design constraints. Three LinkedIn posts about ProFinda events and TED2026 show the arguments and event style.
The hard problem is orchestration, not building AI agents
Gorman argues that once agents exist, the difficult work is coordinating them with human work.
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The coordination problem covers people, agents, skills, tasks, workflows, governance and decisions across firms and other organisations. They say many companies are building workflow and intelligence tools, but few are building orchestration.
In a reflection after TED2026 in Vancouver, Gorman lists what has to be coordinated and says ProFinda has gone live with 500,000 workers newly matched to millions of projects and tasks. Ask for independent confirmation of that deployment figure.
The ProFinda Connects post poses the collision between human and agent workforces as an open question.
The TED reflection treats orchestration as the answer.
Ask for publication dates to establish the order of that framing change.
Resourcing should be the control plane for mixing humans and agents
Gorman argues that finding a person for a task is too narrow a goal.
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Resourcing optimisation should understand the work, skills, capacity, economics and context, then assemble the right blend of humans and agents around an outcome. They call this layer the connective tissue or control plane for the autonomous enterprise.
For ProFinda Connects, Gorman sets out questions about where AI agents should sit, what humans should continue to own, and how to orchestrate the mix without adding another layer of complexity. They frame the choice as a car crash or an elegant ballet.
A skills and work foundation comes before the agentic business
Gorman argues that organisations need a clear understanding of their people, skills, agents, work and demand before they can become agentic businesses.
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The sequence matters: a skills-first foundation enables the next step, rather than agents being added to an unclear operating model.
At a ProFinda user summit in Chicago, Gorman says Big Four clients described global deployments at scale and mid-market clients described journeys toward becoming skills-first organisations.
They present the goal as redesigning how work gets done, not automating the old model.
Details of those client accounts were withheld under Chatham House Rule.
Human connection and human ownership are design constraints
Gorman argues that human intelligence, machine intelligence and meaningful human connection need to be combined, not treated as separate tracks.
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The orchestration list puts humans first, and the event questions ask what humans should continue to own. This is not an anti-agent position; it sets limits on what should be delegated.
Gorman names TED talks by Malala Yousafzai, Hiba Qasas, Jacob Collier and Monica Lewinsky as standout moments, and draws a theme of human connection from the event.
Gorman uses deliberately small events under Chatham House Rule, with fewer presentations and more conversation, to surface what firms are actually doing.
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The format mixes leaders from large professional services firms with faster-moving mid-market businesses around questions that no company has fully solved.
Gorman describes ProFinda Connects as intentionally boutique and structured for genuine conversation.
In the summit post, they say the rule prevents sharing details but praise the openness of the discussion.
Ask what findings emerged from the room; the public posts share the format and questions, not the conclusions.
Explains what Gorman sees as the harder problem once AI agents exist, and why orchestration is central to the ProFinda story.
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A newcomer gets the core argument in one post.
Gorman takes a theme from TED2026 in Vancouver—that human connection becomes the differentiator in an AI-shaped world—and turns it into an enterprise argument.
The challenge, they write, is not simply building agents but orchestrating events, networks, governments, firms and enterprises across people, agents, skills, tasks, workflows, governance and decisions.
They say few companies are building orchestration and claim ProFinda has gone live with 500,000 workers newly matched to millions of projects and tasks.
The post also names talks by Malala Yousafzai, Hiba Qasas, Jacob Collier and Monica Lewinsky.
For brands planning a campaign
This is the clearest keynote thesis: the market has moved from agent building to coordinating a mixed human-and-agent workforce.
Use it to frame an executive keynote around orchestration as the connective layer between skills, work and AI agents.
The 500,000-worker figure and claim to the most advanced live story are their own assertions; ask for substantiation in briefing materials rather than presenting them as verified client outcomes.
Shows the progression Gorman wants professional services leaders to see: first understand people, skills, work and demand, then redesign work around humans and agents.
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It is the most direct explanation of the commercial problem ProFinda addresses.
Writing from a ProFinda user summit in Chicago, Gorman says the Chatham House Rule prevents sharing details but describes hearing from Big Four clients about global deployments at scale and from mid-market clients about becoming skills-first organisations.
They argue that once an organisation understands its people, their skills, its agents, its work and its demand, it can move toward becoming an agentic business.
The post insists this is not about automating the old world of work, but redesigning how work gets done, how humans and AI agents coexist, and how skills, work and opportunity are connected dynamically.
For brands planning a campaign
Useful for an executive roundtable because it offers a maturity story rather than a product pitch: skills-first foundations first, agentic operating model second.
A discussion guide can ask participants where their organisation sits on that path and what data or governance they lack.
Ask for named client references and substantiated outcomes before implying endorsements.
Gives the sharpest short formulation of the question Gorman puts to executives: what happens when the human and agent workforces collide, and how do you stop it becoming a car crash?
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Gorman promotes ProFinda Connects in Chicago on 30 September as a deliberately small, Chatham House Rule event with fewer presentations and more conversation.
The questions are practical: how to transform a workforce, plan skills and capacity when the available workforce is no longer only human, decide where AI agents should sit and what humans should continue to own, and orchestrate it all without adding another layer of complexity.
They say clients and partners are converging on resourcing optimisation as the control plane that makes the mix work.
For brands planning a campaign
Provides a ready-made roundtable or keynote frame: the 'car crash or elegant ballet' contrast is memorable and opens a serious discussion about governance, role design and capacity planning. Use the five questions as an agenda skeleton.
Gorman frames the central enterprise problem as coordination, not simply building agents.
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That work spans events, networks, firms, skills, tasks, workflows, governance and decisions, with humans first and AI agents alongside them. At the Chicago user summit, they described the next step after a skills foundation as becoming an “agentic business.”
Paired questions and metaphors—a “car crash” versus an “elegant ballet,” and resourcing as “connective tissue”—make an abstract coordination problem concrete.
For brands planning a campaign
Position the platform as the coordination layer for human and agent work, not another agent tool. A keynote can open with the collision-versus-ballet framing, showing where agents fit, what humans continue to own and how work is governed.
Gorman argues that resourcing optimization is becoming the control plane and orchestration layer for complex supply and demand.
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That means understanding work, skills, capacity, economics and context, then orchestrating the right blend of humans and agents around an outcome—not just matching a person to a task. ProFinda’s optimization engine is presented as connecting people, skills, work, opportunities and increasingly AI agents.
For brands planning a campaign
Draw a clear line between matching and orchestration. Lead with outcome-level orchestration across human and agent capacity, and use an executive roundtable exercise where firms map demand, skills and agent capacity in one flow.
At the user summit, Gorman said organizations that truly understand their people, skills, agents, work and demand can begin moving toward an agentic business.
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They described mid-market clients on skills-first journeys and Big Four clients running global deployments at scale. The sequence matters: a skills and work foundation comes before agent orchestration.
For brands planning a campaign
A credible keynote or roundtable should start with data readiness—skills and work taxonomy—before agent orchestration.
Offer a maturity path from skills foundation to agentic operations.
Before using the client scale examples, ask for evidence: the posts present them as claims, not independently verified results.
Gorman consistently situates orchestration in large, complex professional services environments.
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They cite 500,000 workers newly matched to millions of projects and tasks, and describe the summit as a moment for the industry to redesign how work gets done rather than automate the old model. The posts emphasize global deployments, mid-market speed and skills-first operating models.
For brands planning a campaign
Use professional services language—leverage, utilization, project staffing, governance and delivery model redesign. Frame the platform around redesigning how services work is coordinated, not just automating existing staffing decisions.
Gorman uses small, closed-door events and Chatham House Rule discussions to surface what firms are actually doing.
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The posts describe a deliberately mixed room of global thinkers, large professional services leaders and faster-moving mid-market businesses, with fewer presentations and more genuine conversation. The format is presented as a way to decode shared, unsolved questions around human and agent workforces.
Event-led learning: Gorman uses the room itself to test which workforce questions are live among large and mid-market firms.
The posts don’t disclose specific client names or detailed findings. Before booking, ask for named examples and supporting findings.
For brands planning a campaign
An executive roundtable fits Gorman’s format: invite a deliberately mixed group, anchor the session on one focused question and protect candor under Chatham House Rule. Capture themes for follow-up content rather than turning the session into a sales pitch.
Gorman’s TED reflection argues that as AI shapes work, human connection becomes a true differentiator.
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They say the future probably belongs to organizations that best combine human intelligence, machine intelligence and meaningful human connection, and name talks on hope, peacebuilding, creativity and online safety. The range points to an interest in human factors beyond efficiency at work.
For brands planning a campaign
Avoid a pure automation-efficiency message. Include human-first governance and change management, and use the keynote to show where human judgment, trust and connection remain central as agent capacity grows.
Roger Gorman's posts describe one business relationship: ProFinda.
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They speak as an insider, referring to “our ProFinda User Summit” and saying “At ProFinda, we can boast the most advanced story, rolled out, live.”
They describe ProFinda’s resourcing and orchestration work for professional services firms and link it to a Chicago user summit and ProFinda Connects.
No other explicit brand relationships appear in the posts.
Ask for their job title and whether they have an ownership stake.
ProFinda
Employment
Gorman writes as part of ProFinda, using “we” and “our” to discuss the company and its user summit.
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They describe ProFinda as building resourcing and orchestration software for professional services firms and cite a live deployment matching 500,000 workers to projects and tasks. Ask for their job title and whether they have an ownership stake.
Roger Gorman writes about coordinating human and AI work — what they call orchestration — rather than building agents.
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Their posts make three connected arguments: the hard problem is coordinating people, agents, skills, tasks, workflows, governance and decisions; resourcing should become the control plane that blends human and agent capacity around an outcome; and a clear skills-and-work foundation must come before a firm can operate as an agentic business.
Human judgment and connection remain design constraints, not afterthoughts.
Two of the three posts come from their own events: a Chicago user summit held under Chatham House Rule, where they say Big Four clients described large global deployments and mid-market clients described skills-first journeys; and a ProFinda Connects session in Chicago built around what happens when the human and agent workforces collide.
The third reflects on TED2026 in Vancouver and argues that the future belongs to organisations that combine human intelligence, machine intelligence and meaningful human connection.
The format is part of the work: small, candid, conversation-heavy rooms rather than presentation-led conferences.
Read the three posts in sequence, then follow the subject outward.
The event posts show the questions they are convening large professional services firms and faster-moving mid-market businesses around; the TED reflection shows where human factors enter the argument.
Ask for publication dates if recency matters.
The three creators below explore the same orchestration and agent-governance territory from different vantage points — revenue operations, contingent workforce programs, and AI risk and governance — and are worth following if this line of thinking brought you here.
Both arrive at the same conclusion: the constraint inside enterprises is no longer model intelligence but the coordination layer around it.
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Gaurav Bhattacharya argues that AI has commoditized execution, so trust, positioning and distribution carry more weight, and that workflows are limited by orchestration rather than intelligence.
They propose an operational stack of signals, reasoning, orchestration, action, monitoring and human oversight.
Gorman makes the equivalent argument for resourcing, calling it the connective tissue that lets human and agent capacity be deployed together.
Bhattacharya's evidence sits in revenue and go-to-market workflows — outbound, enrichment, sequencing, CRM handoffs and the drag created when people act as middleware between systems. Gorman's sits in staffing and resourcing inside large professional services firms, where the unit being coordinated is project demand, skills and capacity rather than sales pipeline.
Jenn Simon, CCWP, writes about the same shift in workforce decisions, from automating tasks to orchestrating them: candidate screening, rate benchmarking, supplier performance, compliance and analytics as the first wave; decision intelligence as the next; and orchestration across workforce data, talent channels and suppliers beyond that.
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Like Gorman, Simon treats governance, accountability and human oversight as conditions of that shift, not optional extras.
Simon's scope is contingent workforce programs and the supplier and technology ecosystem around them — MSP, VMS, direct sourcing, procurement — and their audience is program owners and industry practitioners. Gorman's scope is resourcing across permanent, project and agent capacity in professional services firms, described from the position of a platform vendor convening its own clients.
Sam Sharma, MBA, MSc, shares Gorman's core move of treating AI agents as workers rather than features.
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Sharma's argument that agents should have a purpose, owner, identity, access boundary, risk level, approval process and audit trail echoes Gorman's insistence that humans come first and that someone must own the outcome when a mixed human and agent workflow goes wrong.
Sharma's focus is governance, security and risk policy for agentic AI, including how much autonomy should be delegated before behaviour becomes uncontrollable. Gorman's is resourcing orchestration and the operating model of professional services firms, with governance as one component of the orchestration problem rather than the main subject.
For a workforce-orchestration platform aimed at professional-services firms, Roger Gorman is a plausible placement when the goal is to reach leaders thinking about skills, capacity and human-AI operating models.
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Their posts discuss ProFinda deployments at large professional-services clients, skills-first organization design, and the shift from AI agents to orchestration across people, work and agents.
The only audience-size figure is a LinkedIn follower count of 7,369 observed on 8 October 2026.
Before committing to a keynote or executive roundtable, ask for recent LinkedIn follower demographics or a short audience survey covering industry, seniority and geography, plus engagement results for comparable posts on workforce orchestration and agentic delivery.
If those show a senior professional-services, HR or operations skew, proceed; if not, use a smaller roundtable or sponsored test rather than a large stage bet.
Roger Gorman's three posts show no creator-level partnership offer: no sponsorship formats, packages, rates or published terms.
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They promote ProFinda's own convenings: a user summit in Chicago and a boutique, invitation-style ProFinda Connects event run under Chatham House Rule, with senior professional-services clients on stage.
These are company events used as marketing, not third-party sponsorship inventory a brand could buy through Gorman.
The posts show no offers, but do not establish whether they accept sponsorship or paid collaboration.
Buyers should ask directly for terms, a media kit, a speaker or sponsorship policy, and a named commercial contact; no official partnership inquiry route or link appears in the posts.
Good fit if booked directly and disclosed as a ProFinda representative.
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Brief
A professional-services firm or member association wants a keynote and moderated executive roundtable for 20–30 partners and operations leaders on moving from skills-first foundations to an operating model that blends human and agent capacity. The buyer wants challenge and practical framing, not a software endorsement.
Reasons
Gorman’s posts argue that the hard problem is orchestration across people, agents, skills, tasks, workflows, governance and decisions—not agent building alone. That is the subject of this brief.
The posts offer a usable executive sequence: understand people, skills, agents, work and demand, then redesign how work gets done. That suits a partner audience looking for a maturity path rather than a product demo.
The event style matches: deliberately small, Chatham House Rule, fewer presentations and more conversation. The five questions from the ProFinda Connects post can anchor a roundtable agenda.
Professional services is the setting Gorman writes from: Big Four-scale deployments and mid-market skills-first journeys, plus a claim of 500,000 workers matched. Label these examples as ProFinda’s experience, not independent proof.
Conditions
Disclose the ProFinda affiliation on the agenda and opening slide.
Substantiate the 500,000-worker and Big Four claims, or label them clearly as ProFinda’s own experience.
Ask for an audience breakdown to confirm the room is senior enough; Roger Gorman's posts give only a LinkedIn follower count.
No published speaker fee, media kit or partnership package was found. Agree scope, fee, recording rights and disclosure directly.
When to choose a specialist
Poor fit as a paid endorsement for a competing platform. Decline or restructure the brief.
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Brief
A workforce-orchestration software vendor wants Gorman as a paid keynote or roundtable headliner for a demand-generation campaign positioning its platform to professional-services firms.
Reasons
The posts are first-person ProFinda marketing: “our ProFinda User Summit,” “At ProFinda we,” and “ProFinda Connects.” Gorman promotes a workforce-orchestration product and events, rather than commenting as a neutral category analyst. A vendor in the same category would be paying a rival’s representative to front its campaign.
The material is company event promotion, not independent buyer research. Ask for client names, methodology and independently verified outcomes before using it as third-party proof.
Procurement would be a direct negotiation; no creator-level sponsorship or speaker offer is documented.
The posts’ calls to action promote attendance at ProFinda events and adoption of ProFinda’s orchestration story, not a neutral evaluation of vendors.
Where it could work
A moderated, outside-in fireside where Gorman challenges the audience on skills data, governance and human-agent role design could work with the ProFinda affiliation disclosed and no product endorsement. That is a different brief from platform positioning.
A worked campaign example
Angle
From skills foundation to agentic business: orchestrate the work, not just the agents.
Brief
A 25-partner professional-services firm is preparing a partner retreat. It wants a 90-minute keynote-plus-roundtable on moving from skills-first foundations to an operating model that blends human and agent capacity. No software purchase is on the table.
Format
90 minutes: 20-minute keynote, 50-minute Chatham House Rule roundtable, 20-minute synthesis. Invite partners, workforce planning and delivery operations leaders. Pre-read: a one-page maturity ladder.
Messaging angles
Most firms are still matching people to tasks. The next advantage is orchestrating outcomes across human and agent capacity.
Skills data is the foundation; agent orchestration is the next layer. Do not reverse the order.
Human connection is a differentiator, not a soft extra. Design it into the operating model as agent capacity grows.
Next step
Ask for a 30-minute scoping call, a one-page outline, disclosure language, fee and two references from comparable professional-services convenings. If the firm needs vendor-neutral research, pair Gorman with an independent analyst or client practitioner.
Proof to avoid
Do not imply named client endorsements; the posts anonymize clients.
Follower count alone does not prove audience fit.
Treat ProFinda’s event language as a company perspective, not independent research.
Proof to use
Use Gorman’s examples as attributed experience: Big Four deployments at scale, mid-market skills-first journeys, and 500,000 workers matched to projects and tasks.
Use the five Connects questions as a discussion guide, opening with the car-crash-versus-ballet contrast.
Run of show
Open with the collision question: what happens when the human workforce and the agent workforce meet—car crash or elegant ballet? Frame the session as a design problem, not a tooling problem.
Move through the maturity sequence: understand people, skills, agents, work and demand; redesign how work gets done; then set governance for what humans own and where agents sit.
Build the agenda around the five ProFinda Connects questions: workforce transformation, capacity planning when the workforce is not only human, where agents sit, what humans keep, and how to orchestrate without adding complexity.
Run an exercise on one live engagement: map demand, skills, human capacity, agent capacity and decision rights. Ask each table to name one governance gap and one data gap.
Close with a one-page orchestration canvas covering outcome, work, skills, human capacity, agent capacity, decision rights and the next 90-day test.
Choose Bhattacharya when the buyer's problem is go-to-market execution, not workforce planning, and the room wants to hear why AI-generated outbound has stopped being a differentiator and where operational advantage now sits.
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Their posts lay out a system view of work—signals, reasoning, orchestration, action, monitoring and human oversight—and frame digital workers as operational infrastructure rather than a metaphor. That suits a leadership team redesigning internal GTM workflows or deploying agents across disconnected systems.
Bhattacharya's frame is commercial workflow and distribution, not professional-services people strategy.
Their examples center on internal GTM operations—intent signals, enrichment, sequencing and CRM—and the call to action is a whitepaper on a digital worker stack.
Unlike Gorman's work, the posts don't cover professional-services settings, a skills-first maturity sequence or roundtable questions.
A partner audience looking for workforce design and human-agent role clarity would hear an operator's infrastructure argument instead.
Choose Simon when the room is made up of contingent-workforce program owners—MSP, VMS, procurement and HR leaders—rather than firm partners and delivery operations.
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Simon writes from inside that discipline: candidate screening, sourcing, rate benchmarking, supplier performance, compliance monitoring and workforce analytics.
They trace a maturity path from automation to decision intelligence to orchestration across the workforce ecosystem.
The governance-and-accountability framing suits buyers who need program design and supplier-ecosystem decisions, and the article and conference session show Simon working through established industry channels.
The scope is narrower and more program-specific than Gorman's firm-level orchestration story.
The session post focuses on logistics and membership, while the substantive post points to an outside article rather than laying out the argument in full.
A partner retreat asking how humans and agents share work inside a professional-services firm is a different conversation from contingent-workforce program governance.
For that retreat, ask Simon for professional-services deployment examples; Gorman offers them.
Choose Sharma when the buyer's priority is governance and risk before autonomy: what agents may access, decide and do; who owns the outcome; and how to monitor and audit them.
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Sharma argues that agents should be governed like digital workers, with a clear purpose, owner, identity, access boundary, risk level and approval process, and that capability should not outrun controllability. That's the sharper fit for a room that has decided to deploy agents and now needs controls, or for a risk committee rather than a delivery audience.
Sharma's posts focus on the AI-risk and safety debate—researchers, regulation, US-China competition and alignment—not workforce matching or planning. They don't address skills data, capacity planning or professional-services operating models, so buyers seeking both orchestration and governance should treat Sharma as a complement to Gorman, not a straight substitute.
Reviewed the full text of three LinkedIn posts by Roger Gorman: a ProFinda user summit in Chicago, a ProFinda Connects session in Chicago on 30 September, and reflections after TED2026 in Vancouver.
The posts did not include publication dates, so the order and how current the ideas are cannot be established.
Three adjacent creators were compared using two posts each, dated May to September 2026.
The review did not include transcripts, presentation materials, client names, audience demographics, a media kit or independent confirmation of deployment figures, and the material did not identify books, shows or earlier roles.
Deployment and client claims are presented as Gorman's own.
