01 / AI STRATEGY
Put AI where it can improve the work.
Map your operating conditions, identify the workflows where AI creates real value, build responsibly, and bring the team along. The goal is a production capability the organization actually uses—not a proof of concept that stalls at handoff.
WHERE CLIENTS GET STUCK
- —Explored AI tools without identifying where they actually fit the operating model
- —Launched an automation that the team stopped using within weeks
- —Built something that worked in a demo but failed on real data
- —Received a vendor proposal without understanding the full integration cost
- —Could not get alignment on what to fund first
WHAT WE DO DIFFERENTLY
We start with the operating context, not the technology. Readiness, data quality, workflow design, and adoption planning happen before any build decision.
Every engagement produces a decision artifact at each stage—enough to confirm direction, narrow scope, or stop with clearer information. We do not disappear into delivery.
AI OPPORTUNITY EVALUATION FRAMEWORK
Rank opportunities before committing to scope.
EXAMPLE OPPORTUNITY RANKING
Scores are illustrative. The actual evaluation uses client-specific data, workflow constraints, and organizational context.
DELIVERY SEQUENCE
A decision at every stage.
Opportunity Evaluation
Map the workflow, data, and constraints. Score each opportunity by value, feasibility, and risk.
Design & Architecture
Define the workflow logic, data requirements, integration points, and human oversight model.
Build & Test
Iterative development with structured review cycles. Test on real data in controlled conditions.
Integration & Handoff
Connect to production systems. Document the operating model, failure paths, and handoff criteria.
Adoption & Support
Train the team, measure usage, collect feedback, and refine based on operating reality.
COMMON STARTING SCENARIOS
AI vendor evaluation
You have been presented with a platform or tool and need to know whether it is the right fit, what integrations are required, and what adoption will actually look like.
Knowledge assistant or workflow agent
Your team repeats the same research, triage, or routing tasks. The opportunity is clear—the question is how to design for accuracy, handoff, and trust.
Automation of a regulated or high-stakes process
The workflow has compliance dependencies, sensitive data, or human accountability requirements that a generic tool or off-the-shelf configuration will miss.
ENGAGEMENT OPTIONS
Readiness Audit — $1,500
One business unit. Opportunity ranking, risk flags, and a 90-day action plan within five business days.
Get started →Strategy & Scoping
A structured engagement to evaluate, prioritize, and scope a specific AI or automation opportunity.
Get started →End-to-end Delivery
Design, build, integrate, test, and adopt a production-ready AI-enabled workflow.
Get started →