Turn the AI roadmap into a technical proof point.
You own the strategy, workshops, governance, and executive framing. We validate one roadmap use case against real systems, data, integrations, and implementation constraints.
The Post-Roadmap Technical Validation Sprint gives your client a grounded answer before they fund the build. It narrows one strategic use case into the data, integration, risk, and implementation work required to make it real.
20-min call · bring one roadmap use case · leave with a written go/no-go · no slide deck.
Your strategy remains the frame. MLDeep tests the implementation reality.
What you keep
- AI strategy, workshop design, and executive facilitation
- Governance, risk, policy, and operating model framing
- Roadmap prioritization and business-case narrative
- The advisory relationship and follow-on strategy work
What MLDeep handles
- Technical inspection of the chosen use case
- Data availability, quality, access, and integration review
- Implementation constraints, failure modes, and dependency mapping
- First build scope and proof path if the use case is ready
Senior delivery you can verify, not a pitch.
You own the strategy and the client relationship. We supply the technical proof underneath it, so your recommendation survives contact with the client's real data and systems. The signals below are checkable before we touch anything.
What actually ships
A feasibility read on the data, systems, and integration path behind your recommendation, plus a scoped build for the use case you want to prove. A technical verdict you can put in front of the client, not another deck.
dbt Labs Registered Partner
Analytics and transformation work built on the standard a real data team recognizes, not a bespoke setup only we can maintain.
Published research
We publish our work on AI agent reliability and evaluation, including AgentDoctor. The depth behind the delivery is public, not a claim.
The person who scopes it builds it
Nine years across data engineering, cloud infrastructure, and AI. Senior-led throughout, with Domain Methods delivery capacity when a build needs more hands, never a junior handoff.
One use case. Four technical checks.
Define the target
Clarify the workflow, user, decision, data inputs, and business outcome behind the roadmap item.
Inspect the systems
Review data sources, integration paths, permissions, tooling, and ownership realities.
Score feasibility
Rate implementation complexity, data readiness, operational risk, and likely first-win value.
Scope the proof
Produce the first build path, constraint list, and recommendation for funding or deferring the use case.
Technical validation checklist.
Use this before selling buildout. If the answers are unclear, a validation sprint can protect the strategy from implementation risk.
Download the complete validation checklist
A deeper roadmap validation worksheet with use-case specificity prompts, data readiness checks, integration questions, evaluation criteria, operating ownership checks, and build/defer rules.
Data access
Can the team access the required source data through a reliable path, with the right permissions and ownership?
Data quality
Is the data complete, timely, deduplicated, and defined well enough for the model, automation, or workflow?
Integration path
Where does the output need to land, and does that system support the required API, webhook, dashboard, or human review loop?
Operational owner
Who monitors the workflow, handles exceptions, signs off on changes, and owns the system after launch?
What we commit to in writing, before any access.
Your client's data and systems stay inside a tightly scoped engagement, with the controls below written into the SOW before anyone touches a system.
Mutual NDA before access
Your paper, the client's, or ours, whichever you prefer. Signed before anyone touches a system.
Read-only by default
No writes to production systems unless the scope authorizes it in writing.
Engagement-scoped credentials
Provisioned at kickoff, revoked at handoff. No long-lived access tokens.
Deletion at sign-off
All exports, screenshots, and working files deleted within 7 days of handoff.
Mutual non-solicit
MLDeep does not pitch strategy, roadmap, or advisory work to your client during or after the engagement. The technical validation is the whole scope.
What strategy consultants ask before booking.
How is my strategy positioning protected during the engagement?
What does a validation sprint cost?
What if you are unavailable mid-sprint?
What does the deliverable look like?
What is the response time and timezone?
Do you carry SOC 2 or E&O insurance?
Bring one roadmap use case that needs proof.
We will help you decide whether it can be validated quickly, needs foundation work first, or should stay strategic until the client is ready.
Responds within one business day · calls overlap 17:00-22:00 IST / 07:30-12:30 ET · back to partner hub.