AI-as-a-Service
AI-as-a-Service ship.
Most AI engagements end at slide 47. We end with a production system, an SLA, and a written hand-off. Strategy, architecture, build, evals, deploy, govern — one accountable engineer who has done it twenty industries deep.
- Diagnostic in week 1, decision in week 2.
- Build sprint scoped against a shipped outcome, not slide count.
- ISO-42001 / NIST RMF aligned by default — not bolted on.
- Hand-off doc + runbook + on-call paid out separately.
“Most enterprises don't have an AI problem. They have a retrieval problem wearing an AI costume.”
§ 02 / Authority
From the roomsI've been in — and the feeds that came out of them.
Live shorts. LinkedIn originals. Unedited.
Read all 11 field notes →
PMI Gujarat · Keynote · Dec 2024
I had the incredible opportunity to be part of the PMI Gujarat Chapter — NEXTGEN Project Management, elevating our world through emerging technologies.
Live · this quarter
48,000+
LinkedIn impressions
- Field notes11
- Industries20
- Years shipping15+
Karnavati · AI Conclave 2025
Unlocking the Power of AI: it's all about the right prompt. At Karnavati University, I had the privilege of sharing a key insight…
Rajkot · Keynote · 2025
What happens when AI meets India's social and rural future? You get a room full of students, academics, and leaders in Rajkot asking the questions that actually matter.
PM Forum · Off-script · 2025
I walked into a room of 45+ project managers. No slides. No deck. No script.
- PMI Gujarat
- Karnavati University
- Atmiya AI Summit
- HP WeRise · Ahmedabad
- Project Managers' Forum
- NIFT Gandhinagar
- MeitY · Digital India
- UIT Karnavati
- Ahmedabad founder circle
- PMI Gujarat
- Karnavati University
- Atmiya AI Summit
- HP WeRise · Ahmedabad
- Project Managers' Forum
- NIFT Gandhinagar
- MeitY · Digital India
- UIT Karnavati
- Ahmedabad founder circle
What this means in practice
Six weeks median, pilot to production. The shape is fixed: discover, design, build, evaluate, deploy, govern. The content is bespoke.
- 01
Architecture review (board-paper grade, 20–40 pages).
- 02
Reference implementation in your stack — typed, tested, observable.
- 03
Eval harness with golden datasets and drift alerts wired in.
- 04
Hand-off package: runbook, paging policy, audit log, model-card.
Engagement shapes
3 ways to engage on AI-as-a-Service. Pick the closest fit; we calibrate scope on the diagnostic call.
01
1 wk
Architecture review
Read the current state, ship a board-paper recommendation. Output: a written diagnostic plus a 60-min review call.
02
6 wk
Pilot-to-production sprint
Embedded with your team. From the diagnostic decision to a live production system, one slice at a time.
03
6–12 mo
Fractional CAIO
Two days a week, indefinitely. Architecture, hiring, governance, vendor selection, escalations.
For
Who this fits
- Enterprises with a real AI mandate from the CEO or board.
- Funded startups (Series A+) shipping AI product features in the next two quarters.
- Mid-market IT services firms productising AI for clients and needing a senior architect's signature on the design.
Not for
Honest gates
- "Build me a chatbot for my website" — there are cheaper agencies.
- Pre-revenue ideation — go through `/saas-challenge` instead.
- Pure research / paper-writing engagements.
FAQ
About this service.
How quickly can you start?
Diagnostic kicks off within one week of NDA + brief. Reference architecture lands in week 2. If the engagement is a sprint, embedded delivery starts week 3. Six-week median pilot-to-production, but the calibration call sets a real timeline against your team's actual readiness.What stacks do you work in?
TypeScript / Python primary. We're stack-agnostic in principle — the architecture decisions matter more than the language. We've shipped against Postgres, Redis, Kafka, Airflow, Temporal, AWS, GCP, Azure, on-prem RKE2 / OpenShift. Razorpay / Stripe payments. The tools you already run are usually the right ones.Will you sign our MSA / NDA?
Yes — mutual NDA before any architecture-specific conversation, your MSA on enterprise consulting. We have our own MSA template too if you'd rather work from something pre-vetted; happy to red-line either way.Can you work with our existing team rather than replace them?
That's the design. Embedded model — we pair with your engineers, ship with them, and hand over the keys. We don't run the system long-term unless you specifically want a fractional CAIO retainer; the goal is your team owns it.Do you guarantee outcomes?
We guarantee delivery against the agreed scope. We don't guarantee business outcomes — too many variables outside our control (your customers, your data quality, your distribution). What we do guarantee: a working system, an eval harness, a runbook, and a written hand-off — all by the date in the SOW.How much does this cost?
Pricing is scoped to your brief and shared on a short call — book a meeting and we'll walk through the numbers against your specific engagement.
Related services
You may also need these.
01
Digital Transformation
Lakehouse, pipelines, ML — the load-bearing half of AI.
Read the page →02
Agent-as-a-Service
Agentic workflows that actually finish the job in production.
Read the page →03
AI Governance
ISO 42001 · NIST RMF · EU AI Act · DPDP — operationalised.
Read the page →
Voices from the rooms
48,000+ impressions · 11 notes · 9 venues
PMI Gujarat · Keynote · Dec 2024 Karnavati · AI Conclave 2025 Rajkot · Keynote · 2025 PM Forum · Off-script · 2025
Next step
Tell me what you’re trying to ship.
One brief, one inbox, one reply within a business day. Either a calendar slot, a referral, or a straight no — we don’t bench-fit work that isn’t a fit.