Turn approved AI roadmaps into production workflows.
Most enterprise AI work stalls between approved roadmap and shipped workflow. The Transformation Sprint closes that gap in three weeks, and Architech builds the workflows that follow.
Who this is for
Operations leaders with approved AI roadmaps who need a deployable plan
COOs, CFOs, and all other executives who own the outcomes the workflows must deliver
Teams that have run AI pilots without converting them into production
Organizations whose AI Task Force has produced an inventory but not a plan of record
Leaders who want measurement infrastructure in place before transformation begins, not after
Why organizations start with a Transformation Sprint
Approved AI roadmaps do not deploy themselves. The Sprint produces a deployable plan, anchored to your real numbers, with measurement built in from day one.
Convert roadmap into plan of record
Approved roadmaps name what to do. The Sprint sequences how to do it, with named owners, dependencies, and 30/60/90 milestones a delivery team can execute against.
Anchor projections in your real numbers
Generic ROI estimates collapse on contact with reality. The Sprint quantifies cost baselines and impact projections against your operational data, with confidence levels documented.
Establish baselines before deployment
The Sprint defines what gets measured and captures the baseline before transformation begins. Without that, transformation outcomes cannot be measured after.
De-risk with success-based pricing
Acceptance criteria are confirmed in Week 1. If outcomes are not accepted, no fee is charged. Capital follows confidence.
What the Transformation Sprint is
The AI Transformation Sprint is a structured three-week engagement that converts an approved AI roadmap into a deployable plan, with baselines and named owners.
It is not a strategy exercise. It is not a vendor evaluation. It is not a discovery call.
It is a focused process that produces decision-ready artifacts and the measurement infrastructure required to deploy AI workflows into production.
How the engagement works
Three weeks. One team end to end. No handoffs.
Week 1. Discover
Workflow shadowing with operational teams. Data extraction from your operational systems. Interviews with workflow owners and AI program leaders. Acceptance criteria confirmed.
Week 2. Quantify
Current-state cost modeled per sub-workflow. Baselines anchored to your numbers. Impact projections stress-tested against named risks. Change-readiness assessed.
Week 3. Sequence
Initiatives prioritized by impact, confidence, and readiness. Named-owner recommendations. 30/60/90 milestones defined. Final readout to leadership.
What you leave with
A plan you can execute. A baseline you can measure against.
Every Sprint produces the same structured output set. The result is a plan you can execute and a baseline you can measure against.
Sub-Workflow Deep Dive
Process maps, cost baselines, redesign options, and impact projections with documented confidence levels for each workflow in scope.
Workflow Transformation Atlas
A workflow map and structured inventory with priority scoring across workflow areas in scope. Becomes the input for any subsequent transformation work.
Prioritized Sequencing Plan
Deployment order, dependency resolution, named-owner model, and 30/60/90 milestones. Adopted as your plan of record.
Measurement Baselines
Defined metrics and captured baseline data for each workflow in scope. Without this, transformation outcomes cannot be measured.
Acceptance Criteria
Documented criteria for each deliverable, agreed in Week 1. The basis for the success-based engagement.
Final Leadership Readout
A working session with your AI program lead and ELT to align on the plan of record, named owners, and next steps.
Where Workflow Transformation fits in the four-stage execution model
The Transformation Sprint produces the plan, the baseline, and the named owners. Architech then builds the workflows into production using the same architecture, baselines, and acceptance criteria established during the Sprint. Sprint and Build are sold separately. The Sprint stands on its own. The Build follows when the plan is approved.
AI Jumpstart
Identify the highest-impact workflow and define the first proof of value.
AI Foundations
Establish the security, governance, and data access required for production AI.
Workflow Transformation
Convert approved roadmaps into production workflows, measured against baseline.
Workflow Activation
Ensure adoption, track performance, and scale proven patterns across the organization.
The Sprint produces the plan. Architech delivers the build that follows.
When the Transformation Sprint is the right starting point
Start with a Transformation Sprint when
You have an approved AI roadmap but no plan of record
AI work has been identified but not deployed into production
You need baselines and metrics defined before transformation begins
An AI Task Force, working group, or program lead exists to drive plan adoption
Capital is available for transformation work but sequencing is unclear
Start somewhere else when
You have not yet identified where AI applies. Start with AI Jumpstart
Security or data access concerns are blocking AI work. Start with AI Foundations
You have a defined plan and validated foundations and are ready to build. Speak with AI Engineering
Convert your AI roadmap into a plan of record.
A success-based engagement that produces a deployable plan and the measurement baseline required to execute it.
Need foundations work first?
Explore AI Foundations