Data and systems audit
What exists, where it lives, what shape it is in.
The Techtiz AI Readiness Sprint is a 2-week fixed-scope engagement. We audit your data and systems, score candidate use cases by payback and risk, make build-or-buy calls, and hand you a 90-day roadmap with a monthly run-cost model. Day 10 is a decision.
You have the mandate and the budget and no defensible first move. Everyone has an opinion and nobody has a number.
Something got built. Nobody can say whether it works, what it costs to run, or who owns it.
One workflow works, and every attempt to widen it hits a wall.
All 3 end in the same place: a decision you can defend to the person who asked you for one.
MIT's 2025 enterprise AI study found the money concentrates in sales and marketing pilots while the highest measured returns sit in back-office automation, largely unfunded. Roughly 95% of organisations reported no measurable return. That gap is what the sprint closes, and it closes it before the build budget is committed, which is the only point at which the decision is cheap.
Source: MIT Project NANDA, State of AI in Business 2025. Preliminary, not peer reviewed.
Many things called AI use cases are a report, a query, a form, or a plain chatbot. Forcing them into an agent burns budget for nothing.
A problem you solve once needs an assisted working session, not a built system. Only work that repeats on a stable method earns a durable worker.
If done cannot be written in a sentence a reviewer can check, it cannot be evaluated, and what cannot be evaluated does not ship.
Use cases that fail a gate are not discarded. They are rerouted to the cheaper fix, and that rerouting is often where the fastest payback in the whole sprint hides.
Completeness, freshness, access, and lineage. Can AI reason over your production data without 4 months of plumbing first.
Integrations, event flow, identity, and cloud posture. Can your stack carry live AI traffic.
A task-level map of how work actually moves, where rework lives, and where an agent can realistically intervene.
Who can own what after we leave, and where the capability gaps sit by role.
Approval rules, audit trails, data boundaries, retention policy, and shadow-AI exposure. NIST AI Risk Management Framework aware, sized for a mid-market company. The output is a governance baseline you can hand to counsel, an auditor, or a customer security reviewer.
What exists, where it lives, what shape it is in.
Every candidate workflow scored on payback and risk with the arithmetic shown.
Including what it costs to run monthly.
90 minutes, your decision-maker in the room, and a verdict.
A report that gets filed was a failed sprint.
Readiness map, scored across the 5 domains with the finding behind each score.
Workflow friction map, showing where the hours leak, per step.
Use-case register, every candidate scored on payback and risk, arithmetic shown.
Build-or-buy calls with the reasoning, including where an off-the-shelf tool wins.
90-day roadmap, sequenced by value against effort, with dependencies named.
Run-cost model, monthly, plus a 1-page summary written for a board meeting.
Governance baseline: the approval matrix, the data boundary map, the logging and retention requirements, and the shadow-AI findings.
Some sprints end with us recommending an off-the-shelf tool, a process change, or nothing at all. We say that on day 10 and the fee does not change.
A readiness assessment that always concludes hire us to build it is a sales call with a longer runtime.
The roadmap's first workflow moves into the 6-to-8-week pilot line, and later into an embedded pod if the work earns it.
Your team executes with full documentation. Nothing in the deliverables is written to force a callback.
The roadmap says what to fix first and when to reassess.
The day-10 review names which one the evidence supports, not which one we would prefer.
Read access to the systems in scope.
3 to 5 hours of stakeholder time total across the 2 weeks, in scheduled blocks.
1 decision-maker present at the day-10 review.
That is the whole ask, and if we need more we tell you before the sprint starts, not during it.
Implementation, which is scoped separately and only if the decision is build.
Regulatory or legal advice. We are engineers, and when your question needs counsel we say so in the moment.
Vendor referral fees. We take none, including from tools we recommend instead of building.
Organisational change management beyond naming who needs to own what.
Your repositories, your IP, assigned on payment, from day 1.
30 days notice on anything monthly. Handover runbook included, not quoted separately.
4+ hours of daily overlap with your working day, contractual.
Work performed in Lahore by Techtiz personnel under a US-formed Wyoming LLC. Regulated data classes stay on your side and we design around that.
1 senior engineer accountable for the estimate, on the first call.
Every non-obvious statistic on this site carries a named third-party source and a date.
No. It is 6 working documents and a decision, all written to be forwarded without editing.
Yes, and the fee is the same either way, which is the only structural reason to believe us. The alternative works exactly once per client.
Arguably most useful mid-flight. The sprint scores what exists and names the layer that is actually blocking. Most stalled pilots are blocked 1 layer below where the team is currently working.
The big-firm version runs 4 to 6 weeks and is priced for enterprises. Mid-market companies need the decision, not the ceremony. Same 5 domains, 2 weeks, and it ends in a build call rather than a maturity score.
The senior engineers who would build the roadmap. There is no separate strategy layer handing off to a delivery layer. The person in your day-10 review is accountable for the estimate.
At mid-market scale, yes: approval rules, audit trails, data boundaries, retention, and NIST AI Risk Management Framework aware policy basics. We are not a regulatory advisory firm and we say so the moment your question needs counsel.
Written by Mohsin Naeem, Chief Executive Officer
View LinkedIn →Tell us the mandate you were handed and no idea where to start. We will tell you whether it is worth building, and what it would take.