You Do Not Have an AI Problem. You Have a Where-to-Start Problem.
Most enterprise teams know AI matters but stall before anything is built: too many pilots, no clear winner, a security review with no sponsor, and a board that wants ROI before a line of code is written. CreateOS forward-deployed strategists pick the pilot, make the case, and sequence the rollout on the unified AI execution layer, so you walk away with a decision, not a slide deck.
- ISO 27001 and SOC 2 Type II certified
- Fixed-scope discovery, not an open-ended retainer
- Vendor and model agnostic
- Governed and auditable by default
The Gap is Production, Not the Model
Teams stall before anything is built: too many pilots, no clear winner, a security review with no sponsor. A strategy engagement closes the gap between knowing AI matters and shipping the first governed system.
of enterprise AI pilots never reach production.
MIT NANDA, 2025
projected AI impact by 2030, most of it unreachable without a governed path to production.
IDC, 2025
of enterprise teams admit their AI governance is deficient, even as 87% feel ready to deploy.
Delinea, 2026
What We Deliver
A fixed-scope strategy engagement that ends with decisions and a build spec, not a presentation.
Readiness and stuck-pilot audit
We assess where the org is today: data quality, model access, security posture, and the pilots already in flight. Stuck pilots get diagnosed with a clear verdict: fix, accelerate, or retire.
Use-case discovery and prioritization
Structured discovery across the business to surface the highest-impact AI use cases. Each is scored on feasibility, value, and governance overhead, then sequenced into a prioritized shortlist.
ROI modeling and business case
A quantified business case for the first pilot, grounded in your own operational data. Built to survive a CFO or risk committee, not to impress a demo audience.
Build spec and production roadmap
A fixed-price build spec for the first pilot and a sequenced roadmap covering the following three to six months. Scoped, costed, and ready to hand to an engineering team.
Governance and security alignment
We map the security review requirements, data handling constraints, and compliance controls before anything is built, so the pilot does not stall at the gate.
Vendor and model strategy
An independent assessment of which models and infrastructure fit your use case, data residency requirements, and cost envelope. No vendor kickbacks, no preferred provider.
How an Engagement Works: The Production Path
A staged path from blank slate or stuck pilot to a decision and a build spec. Strategy-heavy up front, with a clear handoff to build.
- 01
Discover
We run structured discovery across the business: current AI state, data maturity, security posture, and the pilots already in flight. Outputs include a use-case inventory and a clear diagnosis of what is blocking production.
- 02
Prove
We prioritize the highest-impact use case, score it against your own data and constraints, and produce a quantified business case and a build spec. The governance and security requirements are mapped before anything is built.
- 03
Productionize
For teams that proceed to build, forward-deployed engineers take the spec to governed production on the execution layer. Strategy and build are continuous, not handed off between teams.
- 04
Scale
The roadmap rolls forward. Each subsequent use case follows the same path: discovery, prioritization, build spec, and production, on the layer you keep.
What a strategy engagement delivers
A strategy engagement is not a report. It is a set of decisions with the evidence to back them. At the end of the engagement, you have a prioritized use-case shortlist, a sequenced roadmap cleared through the security review, and a fixed-price build spec for the first pilot, ready to hand to engineering or to us.
A readiness assessment across the org: data quality, security posture, model access, and the pilots already in flight, each with a clear verdict.
A prioritized roadmap sequenced for the security and governance review, with use cases scored on value, feasibility, and compliance overhead.
A fixed-price build spec for the first pilot: scoped, costed, and ready to hand to an engineering team or to proceed directly to a CreateOS build engagement.
Strategy Engagements We Run
Common strategy and readiness motions, grounded in the services we deliver.
Readiness assessment
A structured assessment of where the org stands: data maturity, security controls, model access, governance posture, and the cultural blockers that stop pilots reaching production.
Stuck-pilot audit
A diagnosis of pilots that have stalled, each evaluated for the real blocker: data quality, security review, ROI case, stakeholder alignment, or build approach. Clear verdict per pilot: fix, accelerate, or retire.
Discovery sprint
A time-boxed sprint to surface and rank AI use cases across the business. Each use case is scored on impact, feasibility, governance overhead, and alignment with the security team's current posture.
ROI modeling
A quantified business case grounded in your own operational data. Built for a CFO, risk committee, or board, not a demo audience. Sensitivity ranges and assumptions documented.
Governance and stakeholder alignment
We map the security review requirements, data handling constraints, and approval chain before anything is built. The right stakeholders are aligned before the pilot reaches the gate.
Build-versus-buy decision
An independent assessment of whether to build, buy, or configure for a specific use case, grounded in your data residency, cost envelope, team capability, and vendor lock-in tolerance.
Model and vendor selection
Benchmarking and selection across available models and infrastructure providers for a specific use case, based on your data and requirements, not vendor marketing or generic leaderboards.
Production roadmap
A sequenced three-to-six-month roadmap from the first pilot to subsequent use cases. Each step is scoped, costed, and sequenced to clear the security and governance review before the build begins.
Why CreateOS for AI Strategy
Independent and vendor-agnostic
We are not aligned to any model provider, cloud vendor, or tooling partner. The strategy is built around what fits your use case, data, and security constraints.
Fixed-scope, no open-ended retainer
Every engagement is scoped and priced in writing before it starts. You know what you are getting and what it costs. No hourly billing, no scope creep.
The team that builds it, not just advises
Our strategists are the same forward-deployed engineers who take pilots to production. The strategy is built to be executed, not handed to a different team to interpret.
The platform stays after we leave
When the engagement ends, the governed layer stays. Your AI runs on the unified AI execution layer we build and operate, with routing, governance, and audit enforced on every call.
Common Questions
What does an AI strategy engagement with CreateOS cost?
Strategy engagements run on fixed-scope pricing, agreed in writing before the work begins. A discovery sprint and readiness assessment typically runs in the range of a week to three weeks of focused engagement. Larger roadmap-and-build-spec engagements are priced by scope. We do not bill hourly or run open-ended retainers.
How long does a strategy engagement take?
A focused discovery sprint and readiness assessment runs one to three weeks. A full engagement covering readiness, use-case prioritization, ROI modeling, and a build spec runs four to six weeks. The duration depends on the number of business units involved and the complexity of the security and governance landscape.
What deliverables do I get at the end?
You walk away with a readiness assessment, a prioritized use-case shortlist with scoring rationale, a quantified business case for the first pilot, a sequenced production roadmap cleared through the security review requirements, and a fixed-price build spec ready to hand to an engineering team.
Do you build the AI after the strategy engagement?
Yes, if you choose to proceed. The build spec we produce is designed to flow directly into a CreateOS build engagement, with the same forward-deployed engineers who ran the strategy. There is no handoff gap. You can also take the build spec to your own team or a third party.
Who owns the IP from the engagement?
Everything produced during the engagement is yours outright: the readiness assessment, the roadmap, the business case, the build spec, and all supporting materials. We document everything and retain no rights to any of it.
Do you work with teams that are completely new to AI?
Yes. Teams at the earliest stage are often the best fit: there are no legacy choices to unwind and no stuck pilots to diagnose. We have run engagements with teams who had no AI in production and no AI team, starting from a blank slate.
How is this different from a management consultancy?
A management consultancy delivers a slide deck built by analysts who do not build AI systems. Our strategists are the engineers who take AI to governed production on the unified AI execution layer. The strategy is written to be executed, not handed to a different team. We also operate the layer the build runs on, so the governance we recommend is the governance we enforce.
