We take the findings from your Discovery Sprint and implement them. AI agents built, deployed, and adopted by your team — with measurable ROI by week 8.
The Transformation Sprint is our full-service implementation engagement. We don't hand you a report and leave — we build, deploy, and train your team on every system we create.
Every solution is built from the bottleneck data we found in your Discovery Sprint. No guessing, no generic templates.
We deploy agentic AI using the Harvard A.G.E.N.T. playbook — agents that work autonomously within your existing systems.
We include full team training and updated SOPs. When we leave, your team owns the system — not us.
We review Discovery Sprint findings with your team, validate priorities, and finalize the implementation scope. We confirm which workflows to redesign first and set measurable success metrics.
We design and build AI agents in your environment. Each agent is tested against real data before deployment. We apply the A.G.E.N.T. playbook: Audit, Gauge, Engineer, Navigate, Track.
Agents go live. We run team training sessions, update SOPs, and monitor adoption. We track KPIs weekly and adjust as needed.
We deliver a final ROI report, a replication playbook for future automation, and a KPI dashboard your team can run independently.
After the sprint, you have a proven system. Scale it with ongoing operational leadership.
Strongly recommended. The Transformation Sprint is most effective when we have your process data from the Discovery Sprint. In some cases we can combine both — ask on the call.
We build agents using the tools that fit your existing stack — Microsoft Power Automate, Make, n8n, or custom integrations. We don't lock you into a proprietary platform.
No. Every system we build, your team can run. We include full training and documentation. Our goal is to make ourselves unnecessary.
The 12-week scope is fixed, but we can discuss a follow-on engagement. Most clients find 12 weeks is sufficient for the first transformation cycle.