DEPLOYPROAI ENGINEERING · FRACTIONAL CTO
A CTO's judgement,two to four days a month.
AI roadmap, architecture decisions, build-or-buy calls, vendor evaluation, and governance that stands up to audit. Embedded within your leadership team, bringing senior engineering judgement across every critical decision.
Retainer, 2–4 days a month
- AI roadmap
- Architecture decisions
- Build-or-buy
- Vendor evaluation
- Governance & audit
- Team & hiring
The problem we solve
The roadmap has AI on it. Nobody owns whether it ships.
- Vendor demos are convincing, and nobody in the room can check the claims.
- Architecture decisions are made by whoever is loudest in the meeting.
- The board asks about AI governance and the answer is a slide.
- Hiring for AI is happening before anyone has written down what the role is for.
Step 1
Understand
Systems, team, vendors, contracts and the decisions already in flight.
Step 2
Decide
Build-or-buy, architecture and vendor calls, each with a written decision record and the evidence behind it.
Step 3
Govern
Policies and controls for GDPR, DPDP, SOC 2 practices and the EU AI Act, designed to be audited.
Step 4
Review
Monthly, against the baseline and the roadmap, with the call to scale, continue or stop.
What we build
What the retainer covers.
AI roadmap
Which processes, in which order, with the baseline, the target and the budget for each.
Architecture review
Where AI belongs in the system and where it must stay out, decided per step.
Build-or-buy decisions
Written decision records with the figures, so the choice survives the people who made it.
Vendor and model evaluation
Claims tested on your data before a contract is signed.
Governance for audit
GDPR, DPDP, SOC 2 practices, PCI-DSS, IRDAI-aware and EU AI Act, as controls rather than slides.
Team and hiring plan
The roles you need, the roles you do not, and the interview loop that tells the difference.
What you walk away with
Deliverables. Not promises.
A written AI roadmap with baselines and targets
Decision records for every architecture and vendor call
Vendor scorecards with the evidence
A governance pack designed to be audited
A monthly review against the baseline
A named person your leadership team can call
Production proof
Evidence before adjectives.
34 weeks to one week
Lead time from requirements to production now runs one week. It was 34 weeks. The engineering team was trained to sustain the workflow independently.
India's leading credit-ratings provider
Two months to 48 hours
Six production modules shipped in 48 hours. The previous cycle was two months.
India's leading trading platform
Delivered by Ashish Tripathi in prior enterprise engagements, before DeployProAI was founded. Full detail under NDA.
FAQs
Frequently asked questions
Yes. DeployProAI signs a non-disclosure agreement (NDA) before the first call, so that you can speak openly about your code, your plans and your business.
You do. Everything DeployProAI produces for you during an engagement belongs to you, including the code, the documentation and the plans. SupportSight and Rehearse, two of DeployProAI’s Agentic Accelerators, are provided under an annual licence.
By days per month, two to four, agreed for a fixed term. Every proposal states the scope, the days and the price before work starts. Details are on the How we price page.
Bring us your hardest AI decision.
A 30-minute call is enough to tell you whether you need an advisor, an embedded team, or a readiness assessment first.
- NDA-first
- Your codebase
- Measured with DORA and SPACE
- GDPR
- DPDP
- SOC 2 practices
- PCI-DSS
- IRDAI-aware
- EU AI Act