Services

Decide before you fund the build.

Bring one workflow and the decision your team needs to make. In two weeks, establish the business case, data requirements, operating risks, and a recommendation.

Assess a workflow

Commercial practice

Start with the decision. Build only what has earned a production pilot.

Two bounded engagements create a credible path from workflow opportunity to operating evidence. Ongoing scale work is proposed only after the pilot supports it.

Entry engagement | 2 weeks

AI Workflow Value and Readiness Sprint

For one consequential workflow with a prototype, internal pressure, or a credible near-term opportunity.

Produce an investment decision supported by a current baseline, value hypothesis, responsible owners, cost envelope, measurement method, and production scorecard.

Commercial terms: Fixed fee. The written proposal confirms the amount before kickoff based on the workflow boundary, participants, data access, and review requirements.

Current workflow and business baseline
Value hypothesis and measurement method
Data, state, decision, and ownership map
Implementation and operating cost envelope
Feasibility and failure-risk assessment
Production-pilot scope and success scorecard
Go, reshape, or stop recommendation

The Sprint ends with an explicit go, reshape, or stop decision, not an open-ended transformation roadmap.

Assess this workflow

Implementation engagement | 6-10 weeks

Governed AI Production Pilot

For a workflow that has a sponsor, an approved data path, and a bounded definition of useful production behavior.

Implement one working slice inside the client's approved environment and prove whether it deserves to scale.

Commercial terms: A separate fixed scope and written fee are proposed only when the Sprint evidence supports implementation.

Working workflow integration
Trusted data and system boundaries
Evaluation harness and acceptance thresholds
Human escalation and approval controls
Observability, cost, and release instrumentation
Security and operational documentation
Adoption, handoff, and scale recommendation

Hardening, additional workflows, or evaluation operations are proposed only after the pilot evidence supports them.

Discuss an approved pilot

Your two weeks, made practical.

Start
Agree the question
You bring the workflow owner, technical context, and approved examples. Together we define the decision and what useful evidence would look like.
Week one
Understand the work
Jovani maps the current process, data requirements, and risks with your team. We identify missing evidence and agree how to assess value.
Week two
Review the recommendation
We review the business case, operating requirements, and unresolved risks. You receive a decision record and, where justified, a bounded pilot proposal.

Participants, access, meeting cadence, and review dates are agreed before kickoff.

Preview the decision worksheet

A concrete example

Should AI help review your exception queue?

A reviewer moves between a case record, supporting documents, and a policy. The question: can AI prepare a useful recommendation while the reviewer keeps the decision?

1. Gather the record
2. Check the evidence
3. Human decision

Synthetic example | Sample decision record

Recommendation: reshape: Start with evidence preparation; retain human approval for every case.
Before a pilot: Measure review time and corrections. Confirm document access and who owns escalations.
What would justify proceeding?: Agree a useful time saving and acceptable correction rate, then test them on representative cases.

Illustrative reasoning, not a customer result or a completed assessment.

Use the decision worksheet

Next step

Bring one consequential AI workflow.

Share the workflow problem. We will use the first conversation to determine whether a two-week decision engagement is the right next step.