AI POC to Production
Take the pilot that worked and make it a system your business relies on.
We take AI pilots to production: harden the model workflow, add evaluation and guardrails, integrate with real systems, secure data, set up monitoring and cost control, and hand over with runbooks and clear ownership.
- Hardening
- Integration
- Monitoring
Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.
- Discovery callFree 30 minutes with a senior specialist
- Scoped first phaseWritten scope, timeline and fixed price
- Build with weekly demosWorking software you can see every week
- Launch and supportGo-live with your team ready, then ongoing support
Why do AI proofs of concept fail to reach production?
AI pilots often stall because they lack evaluation, secure data access, integration with real systems, monitoring and clear ownership. Stack18 takes pilots to production by adding these: measured quality, guardrails, secure integration, cost control and a handover your team can run.
Last reviewed 30 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18
| What it covers | Readiness review; Quality and guardrails; Integration and security; Operations; Handover and adoption. |
|---|---|
| Typical first step | Discovery Sprint: 2 weeks, fixed price. |
| Build route | Fixed-scope first release: agreed in discovery; fixed price after discovery. |
| Long-term option | Transformation Pod: 12–36 months, annual contract. |
| Measured by | Time to production; Accuracy on test set; Incidents after launch; Cost per task. Each against an agreed baseline. |
| Governance | Human approval at 5 governance gates, every AI agent action logged, NDA available on request. |
| Delivery team | Based in Jaipur, India. A senior specialist replies within one business day. |
You need this when…
Tap the ones that apply to you.
AI POC to Production, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Readiness review
Find what stops production.
- Pilot assessment
- Gap list by risk
- Production plan
Quality and guardrails
Make it dependable.
- Test sets and scoring
- Refusal and safety rules
- Human approval points
Integration and security
Connect safely.
- System integration
- Access control and secrets
- Data handling review
Operations
Run it day to day.
- Monitoring and alerts
- Cost and latency control
- Runbooks
Handover and adoption
Make it stick.
- Training and rollout
- Ownership model
- Quarterly improvement plan
A typical engagement, step by step.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Discovery
Map how AI production works today, the systems and data involved, and agree the first measurable outcome.
Design
Design the workflows, roles, integrations and approval points for AI production.
Build in weekly demos
Your team sees working AI production software every week, with changes agreed in the open.
Launch and support
Data migration, training, go-live support and a measured 30-day review against the baseline.
Start small. Scale when it works.
Every engagement begins with a short, fixed-price step so you can judge the fit before committing further. See pricing.
Discovery Sprint
Teams deciding scope and priorities before they commit.
- Duration
- 2 weeks
- Pricing
- Fixed price
- Scoped plan and timeline
- Team and fixed price
- Process map or prototype
Fixed-scope first release
Teams that know what they need built.
- Duration
- Agreed in discovery
- Pricing
- Fixed price after discovery
- Written scope and acceptance criteria
- Weekly demos
- Handover with documentation
Transformation Pod
Multi-system programmes that run for years.
- Duration
- 12–36 months
- Pricing
- Annual contract
- Dedicated cross-functional team
- Quarterly business reviews
- One accountable partner
What we have shipped, and what a typical engagement looks like.
Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.
Company with a working pilot
- Challenge
- Pilot stuck at demo; no evaluation or integration.
- What we do
- Readiness review, evaluation set and secure integration.
Scoped in a 2-week sprint
Free AI production review
Tell us where AI production hurts most. We map what to fix first, whether ready-made or custom fits, and a realistic first step.
- Where to start and why
- Ready-made vs custom view
- Indicative timeline
We agree targets before we start.
Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.
AI POC to Production questions.
Can you take over a pilot someone else built?
Yes. We review it first and tell you whether to harden or rebuild.
How long does hardening take?
It depends on the gaps. A two-week review gives a fixed-price plan.
Do you keep the same models?
We keep what works and change models where quality or cost demands it.
What if the pilot should not go live?
We say so, explaining why and what would change the answer.
Who runs it after launch?
Your team, with our documentation, or us under an annual agreement.
Guides, comparisons and proof.
AI Agents for Business: A Practical Guide
What AI agents are, how they differ from chatbots, where businesses use them, and how to start with governance…
Read →CompareReady-Made vs Custom Software: How to Choose
Ready-made systems go live in weeks at a fixed price.
Read →IndustryManufacturing ERP & Digital Transformation
ERP and operations software for Indian manufacturers: purchase, stores, production, dispatch and GST on one…
Read →GuideSoftware Development Cost in India: What Drives It
What drives custom software cost in India, how fixed price, time and materials and dedicated teams differ, and…
Read →Let's scope your AI POC to Production project.
Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request