# Chily Fachler

Chily Fachler advises CIOs on AI strategy and organisational transformation. After six years at AppsFlyer, where Fachler led information services and helped drive company-wide AI adoption, Fachler began working with CIOs on moving from AI experiments to practical transformation plans.

- Profile: https://b2binfluencer.marketing/creators/chily-fachler/
- LinkedIn: https://www.linkedin.com/in/chily-fachler-199476
- Topics: artificial-intelligence, leadership, ai-governance, ai-adoption
- Based on 12 dated posts, latest 2026-10-09

## Summary

Most useful for advising CIOs on moving AI experiments into governed, organisation-wide transformation.

- Best for: A B2B SaaS company hiring an independent adviser for AI transformation and internal adoption.
- Not for: A vendor seeking sponsored content, paid placements, product endorsement, rate cards, or reach metrics.
- Check first: Ask for recent LinkedIn analytics and evidence of SaaS-sector audience representation.

### Takeaways

- CIOs should enable staff to build with governed tools rather than block shadow AI.
- AppsFlyer had more than 500 of 750-plus Make scenarios built outside information services.
- Adoption ran top-down and bottom-up, with commercial and learning-and-development collaboration.

## Main ideas

- **Lead AI adoption instead of defending against it**: Fachler argues that CIOs already have technology transformation experience, but many end up on the defensive when boards push AI through fear of missing out and exaggerated claims about cutting the workforce. Their response is not to resist but to lead: make your own information-services team AI-efficient first, report use cases transparently, and ask whether a use case is genuinely valuable or just exciting—and what the business case is.
- **Enable shadow AI under governance rather than block it**: Fachler argues that fighting shadow AI is self-defeating because AI tools are too big, fast, and easy for employees to ignore. Their principle is “Enable, don't block”: let people across the organisation build solutions on governed tooling, rather than keeping everything inside the IT ivory tower.
- **Build adoption top-down and bottom-up at the same time**: Fachler describes a two-tier AI adoption strategy that works top-down and bottom-up simultaneously, rather than relying on mandates. They say the approach depended on real collaboration across the business, especially with commercial and learning-and-development teams, because adoption spreads through functions and teams rather than through a single central directive.
- **Put people and team trust before process**: Fachler describes themself as a people-first leader and says getting the people side right makes everything else possible. The leadership frame named in the posts is Patrick Lencioni's The Five Dysfunctions of a Team, and the results are attributed to named teams and sustained trust rather than to tooling or process alone.
- **Prefer candid peer conversation over slides and demos**: Fachler's visible work centres on structured peer discussions: a podcast conversation and roundtable sessions. They frame the format as an honest exchange rather than a polished presentation, prioritising the testing of ideas with peers over a scripted keynote.
- **Move from operating AI adoption to advising on it**: The posts show a change in role, not just topic. Fachler closes six years at AppsFlyer, where the work included building the information-services function and leading company-wide AI adoption, then describes current work advising a number of CIOs on AI strategy and transformation roadmaps—especially the leap from AI experimentation to real organisational transformation.

## Work to read

- [Six years at AppsFlyer, then advising CIOs on AI transformation](https://www.linkedin.com/posts/chily-fachler-199476_appsflyer-activity-7472641478754779136-lO7U)
- [Arguing that CIOs should lead AI adoption rather than police it](https://www.linkedin.com/posts/chily-fachler-199476_delafeld-ai-cio-activity-7509204694398025729-zUhW)
- [On a podcast: how adoption spread at AppsFlyer](https://www.linkedin.com/posts/chily-fachler-199476_appsflyer-ai-leadership-activity-7467928380395499520-Qqsw)
- [Announcing a peer conversation on turning board ambition into a plan](https://www.linkedin.com/posts/chily-fachler-199476_delighted-to-be-joining-giles-delafeld-and-activity-7483143953387683841-dBa0)

## Brand relationships

- **AppsFlyer** (employment)
- **Delafeld Partners** (mention)

## Partnerships

Fachler's posts describe two forms of partnership: professional and editorial, not a sponsored-content or paid media offering. They work as an advisory partner to CIOs, helping them move from AI experimentation to organisation-wide transformation through an engagement described as ongoing rather than as a packaged product. They also take part in peer roundtables hosted by Delafeld, including a discussion with Giles Delafeld and Ranjit Patel on why CIOs end up on the defensive about AI, and note that Delafeld has launched an AI accelerator for companies working through adoption and strategy. Neither partnership is presented as sponsorship; neither has an attached rate card, deliverable list, audience report or booking process. For a paid placement, ask Fachler directly whether sponsored placements, co-branded advisory engagements or event partnerships are available, and on what terms. Engaging them as an advisory partner means hands-on work with a leadership team on AI strategy and adoption, not buying media space or audience reach.

## Alternatives

- Shubham Goel: Choose Goel when the engagement calls for a fast outside read on where enterprise AI is heading, not a hands-on rollout. The posts draw on conversations with IT executives at banks, telecom and technology companies, and focus on decisions B2B SaaS buyers face now: what happens when teams outside IT build AI tools and want them deployed company-wide; who owns AI agent risk; whether agent oversight belongs in IT, the business or an independent board managing risk, quality and cost; and how work changes for people supervising agents rather than people. One post also covers the documentation and lost-knowledge problems that limit what agents can do, and names CRM-to-ERP integration as a standing roadblock to AI deployment. Another reads the Salesforce Dreamforce conference through the same lens: the platform repositioning itself as an AI company, software increasingly separated from its user interface, and AI adoption across enterprises still highly uneven. For a SaaS company seeking an informed external view of the agentic AI landscape before committing budget, this is a stronger starting point than an operator: the material is deliberately cross-company and current.
- Christian Peter Sandvei: Choose this route for access and format, not a personal operating record. The two posts are interview write-ups from a Nordic CIO series, each built around a named CIO’s perspective: trusted data, unified infrastructure and governance before AI capability, so value reaches the branches and frontline that run the business; and the shift from using AI to be more productive to redesigning how work gets done, guided by the principle that the team building a solution owns whether it works, gets adopted and keeps creating value. Buyers seeking a recurring programme of peer voices rather than one adviser in the room get a named community of senior IT leaders, a published interview format and framing tested with Nordic practitioners. For a SaaS company seeking advisory support, this fits a content or convening component better than core advisory work.
- Emma Rundle: Choose Rundle when the obstacle is content and visibility, not the AI plan. The posts describe three situations B2B leaders bring: reinventing the wheel with every post and outreach effort because the message isn’t consistent; relying entirely on personal networks for growth and needing a wider audience; or publishing content about their own process and stages rather than what buyers get. Another post tackles the founder-as-bottleneck problem: when everything lives in the founder’s head, content creation falls to them and stalls whenever client work takes priority. The proposed fixes are to document the strategy first, hand over creation and use a framework of evergreen posts so social feeds don’t dictate the whole plan. For a SaaS company with strong but invisible advisory work, this tackles the actual constraint faster and more cheaply than an advisory retainer.

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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/