AI adoption
Apply AI where it changes cost, speed, or quality—not where it creates theater.
We separate signal from hype: identify where models and automation change unit economics, design safe integration paths, and ship workflows your team will actually use.
Engagement: Most programs run $10k–$25k per month or a fixed project fee for a defined workflow set.
The problem
- Pilots stall because nobody owns data quality or success metrics.
- Legal and security are treated as blockers instead of design inputs.
- Teams bolt on chat UIs without changing the underlying process.
What is included
- Use-case triage: internal ops, customer-facing, and product-embedded paths.
- Integration architecture: APIs, retrieval, evaluation, and human-in-the-loop.
- Governance starter set: data handling, model risk, and rollback plans.
- Enablement so engineering and domain experts can iterate without chaos.
Outcomes
- A short list of approved bets with expected ROI and kill criteria.
- Working reference implementations your team can extend.
- Clear ownership between product, security, and data.
Process
- Inventory workflows, data assets, and constraints.
- Prototype the smallest valuable slice; measure before scaling.
- Harden for production: monitoring, access control, and operational playbooks.
Who it is for
- Leaders who want AI as operational leverage, not a press release.
FAQ
Rarely. Most value is in integration, evaluation, data pipelines, and workflow design. We use the right foundation models and tools for your constraints.
Ready to move with precision?
Book a strategy call or start with an assessment—whichever matches how your team decides.