AI Agent Development
AI agents that finish real work, with a person approving what matters.
We design, build and run agents for support, sales, finance, HR and operations on your data and your systems, with permissions, evaluation and audit trails built in.
- 7 department agents
- Your cloud and data
- Evaluation and audit
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 is an AI agent development company?
An AI agent development company builds software agents that carry out multi-step business tasks, such as answering customers, qualifying leads or matching invoices, using your data and tools. Stack18 builds governed agents with permissions, approval queues, evaluation scorecards and full audit trails.
You need this when…
Tap the ones that apply to you.
AI Agent Development, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Support and sales agents
Customer-facing agents on WhatsApp and web.
- Lead qualification
- Order and policy answers
- Handover to people
Finance and operations agents
Back-office work with approvals.
- Invoice processing
- Reconciliation exceptions
- Report drafting
HR and recruiting agents
Screening and routine queries.
- Candidate screening
- Policy Q&A
- Scheduling
Tools and integrations
Agents act through your systems.
- API tools
- Permissioned actions
- Legacy wrappers
Evaluation
Measure before and after launch.
- Test sets from real cases
- Quality scorecards
- Regression checks
Governance
Control and traceability.
- Approval gates
- PII redaction
- Audit trail
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.
Scope
Pick the first job, data and success measure.
Build
Agent, tools and guardrails, demoed weekly.
Evaluate
Test on real past cases and tune.
Launch and improve
Release behind gates, monitor and expand.
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.
Agent Discovery
Teams choosing the first agent.
- Duration
- 1–2 weeks
- Pricing
- Fixed price
- Use-case brief
- Baseline and targets
- Fixed-price scope
AI Enterprise OS Launch
Teams wanting governed agents fast.
- Duration
- 4–5 weeks
- Pricing
- From ₹3.2L, one-time
- 5 modules
- Private AI foundation
- Governance
Enterprise Transformation Pod
Many agents across the business.
- Duration
- 12–36 months
- Pricing
- Annual contract
- Dedicated team
- Quarterly reviews
- One 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.
Finance team
- Challenge
- Reconciliation exceptions found at month end.
- What we do
- Finance agent prepares exceptions for review before close.
4–6 weeks
Sales team
- Challenge
- Leads from ads and portals wait for first reply.
- What we do
- Sales agent qualifies and replies on WhatsApp, assigns to reps.
4–5 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 →Free AI agent scoping call
Describe the job you want an agent to do. We outline data, tools, controls and a realistic first release.
- Agent brief
- Risk and control 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 Agent Development questions.
What is the difference between a chatbot and an agent?
An agent completes multi-step tasks using tools and data, inside permissions, instead of only answering questions.
How do you test agents?
Against real past cases with scorecards, before and after launch.
Which departments are covered?
Support, sales, finance, HR and operations.
Where does our data live?
In your cloud, with your models and permissions.
Can agents take actions?
Yes, through permissioned tools, with human approval on sensitive steps.
How is it priced?
AI Enterprise OS from ₹3.2L one-time excluding GST; custom agents fixed price after discovery.
Let's scope your AI Agent 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