New Odyssey
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Proof-of-value program

5-Day Agent Sprint

One business week to connect the workflow, build a working agent, and force a clear decision on whether the use case deserves production investment.

Operator signals

Designed for one narrow workflow with a named owner and defined success criteria.

Ends with a go / no-go decision, not an open-ended pilot with no commercial edge.

If you proceed, the Production Build takes the proven path live in 4-5 weeks.

When the sprint is the right move

Best fit

  • One high-confidence workflow with a named owner and clear business pain.
  • Stakeholders who need proof in one week before committing to a full production build.
  • Teams that already know which systems, operators, and approvals are involved.
  • Buyers who want speed without abandoning governance, observability, or handoff discipline.

Usually the wrong fit

  • Programs still debating which workflow should go first.
  • Teams without source-system access, a workflow owner, or agreed success criteria.
  • Open-ended platform design exercises with no near-term delivery target.
  • A request to productionize multiple unrelated workflows in one sprint week.

Phase 1

The Sprint — 5 days

One week. One workflow. One decision. We connect your systems, build a working agent, and put it in front of your stakeholders.

Day 1

Connect

Connect your systems via Merge (200+ platforms). Map the target workflow, define success criteria, and align on the agent scope.

Day 2

Build

Build a working AI agent against your live data. Real integrations, real workflows — not a mockup.

Day 3

Govern

Apply CIP governance. Every action audited, every decision traceable, every deployment versioned.

Day 4

Stress-test

Edge case validation, error handling verification, and performance testing against realistic scenarios.

Day 5

Decide

Live demo with your stakeholders. Clear go / no-go decision with a production roadmap if you convert.

What you leave the week with

Even if you do not continue into Production Build, the sprint ends with a clearer decision, a working proof, and a documented view of what production would require.

Working agent connected to the target workflow and live systems or approved sandbox data.
Stakeholder demo that shows the end-to-end operating path, not just model behavior in isolation.
Go / no-go decision with explicit production build scope if the sprint proves out.
A documented gap list for access, governance, edge cases, and operator requirements discovered during the week.

Phase 2

Production Build — 4–5 weeks

You said go. Now we ship it. Production-grade integrations, hardened agent, monitoring, training, and a full handoff package.

Week 1

Production planning

Finalize scope from Sprint findings. Environment setup, access provisioning, test plan creation, and definition of done.

Weeks 2–3

Build & iterate

Priority integration development, AI agent hardening, and iterative build cycles with daily standups.

Week 4

Test & deploy

Automated testing, UAT with your team, production deployment, monitoring dashboards, and alerting configuration.

Week 5

Launch

Go-live support, team training sessions, handoff package delivery, and 30-day warranty kickoff.

What must be true before the sprint starts

The sprint moves fast because the workflow and decision path are already narrow. If these inputs are missing, the diagnostic is usually the right first step.

Named workflow owner and executive sponsor available for decisions during the week.
Access to source systems, documentation, and subject-matter experts for the target workflow.
Agreement on success criteria, edge cases, and what counts as a go / no-go result.
A realistic test dataset or live environment path approved by the customer team.

Full Engagement Scope

Sprint proves the concept. Production Build ships it. Final scope confirmed after Sprint based on findings and access readiness.

1 working AI agent demonstrated in Sprint week
2–4 integrations shipped to production in Build phase
1 AI agent workflow delivered as a production pilot
Monitoring + reporting for everything shipped
Documentation and runbooks for all deliverables

Definition of Done

Automated tests + UAT sign-off from your team
Monitoring dashboards + alerting configured
Error handling (retries, idempotency, DLQ/triage path)
Runbooks + escalation process documented
Security/access controls documented and reviewed
Handoff package delivered + team trained

Handoff Package

Architecture & Inventory

Architecture diagram + integration inventory with all dependencies

Runbooks & Escalation

Runbooks + alert thresholds + escalation paths for each integration

Data Mappings

Source-to-target data mappings for all shipped workflows

Admin Guide

Credentials, secrets rotation schedule, key configurations

Future Backlog

Backlog of next automations + ROI assumptions for prioritization

Training + Warranty

Training session(s) + 30-day warranty support included

5 days to prove it. 5 weeks to ship it.

Start with a Diagnostic to define your Sprint backlog, or jump straight in if you already know the workflow.

Frequently Asked Questions