Enterprise AI Development
Enterprise AI that reaches production, not just a demo.
We build AI products, agents and integrations on the systems that already run your business, with approvals, audit trails and named owners from the first sprint.
- Production-grade agents
- Your cloud, your data
- Human approval gates
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
What are enterprise AI development services?
Enterprise AI development services design, build and run AI systems inside a company's real workflows: private knowledge, agents, integrations and governance. Stack18 delivers them on the Agentic SDLC, where specialised AI agents execute the work and people approve critical decisions at five governance gates.
You need this when…
Tap the ones that apply to you.
Enterprise AI Development, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
AI strategy and use-case selection
Pick problems where AI pays off against a baseline.
- Value and feasibility scoring
- Data readiness check
- Success measures agreed up front
Private AI and knowledge
A workspace on your own data under your permissions.
- Enterprise knowledge base
- PII redaction and guardrails
- Cost controls
Agent development
Agents for support, sales, finance, HR and operations.
- Tool and workflow design
- Approval queues
- Evaluation scorecards
Integration and data foundations
Agents are only as good as the systems they reach.
- APIs over legacy systems
- Data platform
- Identity and access
Governance and audit
Controls security teams can sign off.
- Approvals at critical steps
- Full audit trail
- Environment separation
Run and improve
Monitor quality, cost and adoption after launch.
- Monitoring and alerts
- Evaluation reruns
- Team training
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.
Discover
Choose the first workflows and set baselines.
Design
Architecture, data access and governance rules.
Build
First agent working on real data, demoed weekly.
Launch and scale
Production release behind gates, then expand team by team.
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.
AI Discovery Sprint
Teams choosing where AI pays off.
- Duration
- 1–4 weeks
- Pricing
- Fixed price
- Use-case shortlist
- Baselines and targets
- Costed roadmap
AI Enterprise OS Launch
Teams that want governed agents fast.
- Duration
- 4–5 weeks
- Pricing
- From ₹3.2L, one-time
- 5 modules
- Private AI foundation
- Governance included
Enterprise Transformation Pod
Multi-year AI and modernisation.
- Duration
- 12–36 months
- Pricing
- Annual contract
- Staffed in 30 days
- 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.
Services company
- Challenge
- Support, invoices and screening done by hand at high volume.
- What we do
- Department agents with approval queues, logged end to end.
6–10 weeks
VC-backed wellness startup
- Challenge
- A venture-backed clock: Android and iOS had to launch together, with an admin console for the team.
- What we do
- Scoped the MVP, reviewed clickable prototypes, then built both platforms in two-week sprints.
3 months
Read the case study →Ethnic wear D2C, Jaipur
- Challenge
- A ₹100+ crore brand needed website, app and back office to share one catalogue and one record of stock and orders.
- What we do
- Nine specialists built website, mobile app and ERP on one connected foundation in two-week sprints.
3 months
Read the case study →Free AI readiness call
Tell us where work is slow or repetitive. We outline the best first agent, the data it needs and the controls around it.
- Top use cases
- Data and governance gaps
- 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.
Enterprise AI Development questions.
Do you build on our data in our cloud?
Yes. Agents run on your cloud, your data and your models, within permissions you set.
How do you keep AI safe?
Approval gates, PII redaction, guardrails, evaluation scorecards and a full audit trail for every agent action.
Can you start small?
Yes. Every engagement begins with a short fixed-price step before a larger commitment.
Which models do you use?
We choose models per use case and your security needs. The architecture avoids locking you to one.
What if our systems are old?
We modernise or wrap them with APIs so agents can reach trusted data.
How is this priced?
AI Enterprise OS starts at ₹3.2L one-time excluding GST. Custom work is fixed price after discovery; pods are annual contracts.
Often combined with.
Let's scope your Enterprise AI Development 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