Services
AI Transformation
We write your AI roadmap, build it, and hand it to your team.
How we see the problem
Every team has an AI project. No one owns the result.
Teams buy tools and run pilots on their own. Spend goes up, and no one can say which work changed or what it was worth.
No one owns the outcome
IT, data, and each business unit run their own efforts, and the results never add up to one number.
The plan stops at the handoff
One group writes the strategy and another inherits it, so the hard questions surface in the build.
The knowledge sits apart
The people who know the work and the people who know the models rarely sit in the same room.
Adoption is left to chance
A tool rolls out without training or a new way of working, and the old process carries on beside it.
Where we start
An assessment that ends in a ranked roadmap.
We look at how the work runs today, then rank what’s worth doing by value, risk, and effort. It can cover the whole company or one function.
- 01
What leadership needs
The priorities, the outcomes each leader answers for, and where they already disagree.
- 02
How the work runs
Surveys and interviews across functions show where time goes, what breaks, and what people are already trying with AI.
- 03
What’s ready to build on
Your data, systems, security rules, and the tools you already pay for, checked by engineers.
You leave with the roadmap, a business case and baseline for each item, and the technical detail your engineers need. Run it yourselves, or build it with us.
What we do
The people who write the roadmap build it.
Nothing gets lost between the plan and the release, because the same senior team carries it through. Products, operations, and people change together, and each change is measured against the baseline.
AI in what you sell and how you build it: custom agents and apps for customers and staff, and AI across software delivery for your engineers.
The slow, manual work the assessment finds, automated and measured against a baseline. Company knowledge your AI can use, and agents for GTM and finance.
Training built around each team’s real work, hands-on workshops, and the change management that makes the new way stick.
How the work runs
The roadmap turns into releases, then into your team’s work.
- 01Assess
We look at leaders, teams, systems, and data together.
- 02Prioritize
Use cases ranked, each with a baseline and an owner.
- 03Build and train
The first use cases in production, with the team trained alongside.
- 04Hand over
The roadmap, code, and runbooks stay with your team.
Case studies
Where we’ve put it to work.
Other services
Seven more ways we put AI to work.
- AI SDLCOne agent-ready flow from idea to merged code, scaled team by team.
- AI for GTM & FinanceA data foundation for go-to-market and finance, then the agents that run on it.
- ML and Enterprise ForecastingForecasting at enterprise scale, like forecasting Black Friday demand to plan staffing.
- AI Cost OptimizationSeeing where AI spend goes and bringing it down without losing quality.
- Custom Agent and App DevelopmentAgents and AI applications built for one workflow and run in production.
- Context and Knowledge GraphsTurning what your company knows into context your AI systems can use.
- Fine-tuning and EvalsModels tuned to your data, and the evaluations that prove they work.