AI strategy, implementation & support
A clear decision.
A practical next step.
Start with a strategy question, or bring an idea you want to build. We shape the work around the decision you need to make.
01. AI Strategy Engagement
Choose what deserves investment.
We map how your operation works, rank the opportunities, and build one lightweight proof of the top idea. A leadership workshop turns the findings into a prioritized roadmap and business cases for the next decisions.
Scope, fee, and duration agreed before kickoff.
Explore strategy & roadmapsWhat the scope covers
- Current-state and opportunity map
- Build-versus-buy recommendations
- One lightweight proof of concept
- Business cases for the top two or three initiatives
- Prioritized 6–12 month execution sequence
02. AI Implementation
Build against a real priority.
Turn the selected workflow into a defined build. We agree responsibilities, integration points, acceptance criteria, and team training before implementation begins. This can follow our strategy engagement or your existing direction.
A separate scope and price, based on what the work requires.
Explore AI workflows & buildsWhat the scope covers
- Defined workflow and integration scope
- Data boundaries and human-review checkpoints
- Validation and acceptance criteria
- Role-specific training and documentation
- Ownership and handover terms
03. Ongoing support
Keep the work useful.
Once there is work to support, an embedded retainer keeps a senior team close to the operation. We review what is working, support adoption, and help choose the next priority. New builds remain separately scoped.
Monthly support, with responsibilities and cadence agreed together.
Explore the embedded partnershipWhat the scope covers
- Working sessions with your team
- Adoption coaching and support
- Roadmap and priority reviews
- Reporting and workflow improvements
- Coordination across platforms and vendors
Already know what you want built?
Start with a
Requirements Scope.
Bring your existing direction. We test the assumptions and make the build concrete before you commit to implementation.
- The specification.What the system needs to do, for whom, and within which constraints.
- The cost and timeline.An estimate tied to the actual requirements and dependencies.
- The decision memo.The options, trade-offs, and recommendation for leadership.
- A working prototype.A lightweight proof to help your team confirm the primary requirements.
The foundation underneath
CRM & ERP.
Built into the picture.
Years of CRM and operational systems work inform our AI practice. We map the records, handoffs, and integrations that a useful AI workflow depends on, including the data gaps that need attention first.
Before we begin
Your practical
questions.
What does the AI Strategy Engagement include?
A current-state map, a ranked opportunity set, build-versus-buy recommendations, one lightweight proof of concept, business cases for the top two or three initiatives, and a prioritized roadmap. Scope and fee are agreed before kickoff. Implementation is scoped separately.
Do we need an AI strategy before we call?
No. Start with a business question, bring an existing AI thesis, or come with a specific build in mind. Strategy work helps you choose a direction. A Requirements Scope helps you test and specify an idea you already want to pursue.
We already pay for AI tools. Why would we need you?
A license does not decide which workflow to change, connect the data, or help people adopt a new way of working. We examine the capability you already own before recommending another purchase.
Do we have to replace our CRM or ERP?
Our default is to keep your existing CRM, ERP, or TMS as the system of record. We map the integration points, access limits, and data gaps before recommending a change.
Who controls the data and the AI's actions?
We agree data boundaries with your team and use representative or anonymized material during strategy. Customer-facing workflows include a documented human-review checkpoint. Your team retains the decisions about access, approval, and deployment.
Can we take the work forward without Prometheus?
Yes. The roadmap is yours to act on. For builds, we put repository ownership, hosting, handover, and the conditions and timeline for migration in writing. Any proprietary component is identified up front.
Your next move
Let’s turn AI ambition
into progress.
Bring the question your leadership team keeps coming back to. We’ll start there.
Start the conversation