Forward Deployed Data

Three ways to work with us

Start with a decision, build when you're ready, and keep it accurate after.

Offer 1 · Foundations Workshop

A fixed-scope week that ends with an approved roadmap, not a slide deck of options.

Two weeks of pre-work make the week productive: access setup, a stakeholder intake survey, five to eight interviews, and the diagnostic audit.

Monday
Audit readout: where the foundation breaks today, rebuild versus extend, and baselines for time to answer, contract change cycle time, and data team ticket volume
Tuesday
Use case and metric alignment: prioritize AI use cases, agree P0 metric definitions and owners, and draft them into the PRD template
Wednesday
Architecture: target design for the contract-generated model, knowledge graph, driver agent harness, routing, Genie spaces, and context file generation
Thursday
Trust and evals: accuracy tiers, thresholds per tier, refusal boundaries, golden question set, and governance for sensitive data
Friday
Roadmap and executive readout

Deliverables

  • Readiness audit

    Lineage, usage, observability, and contract coverage findings, scored by domain.

  • Aligned P0 metrics

    Definitions, owners, grain, sources, and acceptance criteria that engineering and the agent both build against.

  • Target architecture

    Knowledge graph, harness, routing with Genie, and context file generation, plus a routing diagram.

  • Eval plan

    Golden question set, accuracy tiers and thresholds, refusal tests, and leadership metrics.

  • Roadmap

    Phased build plan with baselines, success metrics, cost forecast, staffing, and risks.

  • Executive readout

    A decision memo your leadership team can approve the same week.

Workshop credit: 100% of the workshop fee is credited toward implementation if signed within 60 days.

Offer 2 · Implementation

We build the full pattern with your team, including evals, and hand it over running.

Fixed fee, priced by number of domains, with milestones tied to outcomes instead of hours. The same contracts that generate the metric views also generate the context files, so the agent and the data never drift apart.

Evals we build in

EvalWhat it measuresExample threshold
Answer accuracyCorrect answers on the golden question set, by metric tierSet by leaders per tier
Refusal precisionAgent declines out-of-scope, uncertified, or restricted questionsNear 100% on restricted data
Routing accuracyQuestions reach the correct domain spaceAgreed during build
Contract regressionAnswers stay correct after a contract or definition changeNo regression on certified tier
TraceabilityEvery answer links to a certified source and definition100% of certified answers
Cost and latencyCompute cost and time per answerWithin forecast budget

Scope tiers

Foundation

1 to 2 domains, driver agent, evals, enablement

Scale

3 to 5 domains, knowledge graph, automated context generation

Enterprise

Custom scope, multiple business units or regulated data domains

Offer 3 · Advisory

Keep production AI analytics accurate, affordable, and owned by your team.

Definitions change, new domains appear, and costs creep. Advisory keeps the system on track.

Essentials

Monthly office hours, debugging support, and a quarterly eval and accuracy report for leadership.

Embedded

Everything in Essentials, plus cost optimization reviews, operating model design for context updates, context governance reviews, and roadmap support.

Both tiers carry a three-month minimum. Implementation clients get their first month of Essentials included.

Founding client terms

Three founding spots.

Founding clients receive a discounted workshop rate, full workshop credit toward implementation, and priority scheduling. In exchange, they give permission to publish a co-branded case study.

Next step

Book a 30-minute fit call.

If it's a fit, we send the intake survey and access checklist, and the workshop can start within three weeks.