# Roger Gorman

Roger Gorman writes about workforce orchestration at ProFinda, focusing on how organizations coordinate people, skills, work, and AI agents—especially in professional services.

- Profile: https://b2binfluencer.marketing/creators/roger-gorman/
- LinkedIn: https://www.linkedin.com/in/rogergorman
- LinkedIn followers: 7,369
- Topics: artificial-intelligence
- Based on 10 dated posts, latest 2026-09-30

## Summary

Roger Gorman is most useful for talks on workforce orchestration in professional services.

- Best for: Professional services firms or member associations wanting executive keynotes and small roundtables.
- Not for: Software vendors seeking paid endorsement for a competing workforce orchestration platform.
- Check first: Confirm ProFinda affiliation, fee, recording rights, audience seniority and deployment evidence.

### Takeaways

- 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.

## Main ideas

- **The hard problem is orchestration, not building AI agents**: Gorman argues that once agents exist, the difficult work is coordinating them with human work. 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.
- **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. 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.
- **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. The sequence matters: a skills-first foundation enables the next step, rather than agents being added to an unclear operating model.
- **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. 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.
- **Small, candid rooms are part of the method**: Gorman uses deliberately small events under Chatham House Rule, with fewer presentations and more conversation, to surface what firms are actually doing. The format mixes leaders from large professional services firms with faster-moving mid-market businesses around questions that no company has fully solved.

## Work to read

- [TED2026 reflections: orchestration as the layer above AI agents](https://www.linkedin.com/posts/rogergorman_autonomousenterprise-activity-7460321285668106242-wiAB)
- [User summit recap: from a skills foundation to an agentic business](https://www.linkedin.com/posts/rogergorman_live-from-our-profinda-user-summit-in-chicago-activity-7511100024798232577-VIKX)
- [ProFinda Connects: when the human and agent workforces collide](https://www.linkedin.com/posts/rogergorman_futureofwork-ai-agenticai-activity-7505920796612247552-WRzg)

## Brand relationships

- **ProFinda** (employment)

## Partnerships

Roger Gorman's three posts show no creator-level partnership offer: no sponsorship formats, packages, rates or published terms. 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.

## Alternatives

- Gaurav Bhattacharya: 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. 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.
- Jenn Simon, CCWP: 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. 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.
- Sam Sharma MBA, MSc: 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. 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.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/