Automation · AI agents

Intelligent Process Automation

Automate work that rule-based scripts break on.

AI agents handle documents, exceptions and judgement-heavy steps, with people approving what matters and every action logged.

  • Documents and exceptions
  • Approval queues
  • Audit trail

Free 30-minute call with a senior specialist. Reply within one business day. Based in Jaipur, working with businesses across India.

4–6 wksto first automation live
100%actions logged
Humanapproval on sensitive steps
Quick answer

What is intelligent process automation?

Intelligent process automation combines workflow automation with AI so software can read documents, handle exceptions and make routine judgements that fixed rule-based scripts cannot. Stack18 builds it with governed AI agents, approval queues and audit trails on top of your existing systems.

Is this you?

You need this when…

Tap the ones that apply to you.

Most teams we work with recognise two or three of these.

Talk to an expert about this
What we deliver

Intelligent Process Automation, end to end.

Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.

Process selection

Pick what pays.

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Document handling

Read and extract.

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Exception triage

Humans on the hard cases.

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Workflow and approvals

Right people.

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AI agents

Judgement within limits.

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Monitoring

Keep it working.

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How we work

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.

01Weeks 1–2

Discover

Map the current process, data and priorities.

You getScope and priorities
AgentsCompassDraft
02Weeks 2–4

Design

Agree modules, integrations and rules.

You getBlueprint and plan
AgentsBlueprint
03Weeks 4–10

Build

Configure and extend in weekly demos.

You getWorking modules each week
AgentsWeldGridWatch
04Week 10 onward

Launch

Data migration, training and go-live support.

You getLive system, trained users
AgentsLaunchPulse
Offer

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.

Start here

Automation Discovery

Teams deciding what to build first.

Duration
1–4 weeks
Pricing
Fixed price
  • Scoped plan and timeline
  • Team and fixed price
  • Process map or prototype
Start with Automation Discovery
Most common

AI Enterprise OS Launch

Teams that want to go live fast.

Duration
4–5 weeks
Pricing
From ₹3.2L, one-time
  • 5 modules
  • Document AI
  • Governance
Discuss AI Enterprise OS Launch
Custom

Custom automation programme

Needs that a ready-made system does not cover.

Duration
4–16 weeks
Pricing
Fixed price per phase
  • Weekly working demos
  • Senior team accountable
  • 30 days hypercare
Discuss Custom automation programme
Proof of capability

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.

Illustrative scenario

Services firm

Challenge
Invoices keyed by hand.
What we do
Document AI with approvals.

4–6 weeks

Illustrative scenario

Distributor

Challenge
Exceptions pile up.
What we do
Triage agent.

6–8 weeks

Delivered project

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 →
171modules across 6 ready-made solutions, each priced in rupees
10specialised AI agents on the Agentic SDLC
5human governance gates before anything reaches production
2018founded in Jaipur by Prateek Mathur
₹0per-user licence fees on every ready-made solution
1 daysenior specialist reply to every enquiry
Free for qualified businesses

Free automation candidate review

List your top three manual processes. We rank them by value and risk.

Outcomes we measure

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.

Straight-through ratebaseline vs target
Exception ratebaseline vs target
Cycle timebaseline vs target
Cost per transactionbaseline vs target
Accuracybaseline vs target
Reworkbaseline vs target
FAQ

Intelligent Process Automation questions.

Ask us anything
How is it different from basic automation?

It handles documents, exceptions and judgement-heavy steps with AI, under human approval.

Which processes?

High-volume, document-heavy ones first.

Controls?

Approvals, permissions and audit trail.

Cost?

AI Enterprise OS from ₹3.2L; custom after discovery.

Timeline?

First automation in 4 to 6 weeks.

Existing systems?

Integrated by API.

Start a conversation

Let's scope your Intelligent Process Automation 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

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