AI · Readiness

AI Readiness Assessment

Know where AI will pay back in your business before you spend.

We run a two-week AI readiness assessment: map candidate use cases, check data quality and systems, assess risk and governance needs, estimate value and cost, and deliver a prioritised, costed roadmap.

  • Use-case shortlist
  • Data readiness
  • Costed roadmap

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

100%of agent actions logged
5governance gates
2 weeksfixed-price Discovery Sprint
Quick answer

What is an AI readiness assessment?

An AI readiness assessment reviews your processes, data, systems, skills and risks to identify the AI use cases most likely to pay back and what must be fixed first. Stack18 runs it as a fixed-price two-week Discovery Sprint that ends with a prioritised, costed roadmap.

Last reviewed 30 October 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18

AI Readiness Assessment at a glance
What it coversUse-case discovery; Data and systems; Risk and governance; Value and cost; Roadmap.
Typical first stepDiscovery Sprint: 2 weeks, fixed price.
Build routeFixed-scope first release: agreed in discovery; fixed price after discovery.
Long-term optionTransformation Pod: 12–36 months, annual contract.
Measured byUse cases assessed; Value identified; Data gaps found; Risks logged. Each against an agreed baseline.
GovernanceHuman approval at 5 governance gates, every AI agent action logged, NDA available on request.
Delivery teamBased in Jaipur, India. A senior specialist replies within one business day.
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.

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What we deliver

AI Readiness Assessment, end to end.

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

Use-case discovery

Where AI could help.

  • Process mapping workshops
  • Opportunity long list
  • Value and feasibility scoring

Data and systems

What you can build on.

  • Data quality checks
  • API and access review
  • Integration complexity

Risk and governance

What must be controlled.

  • Privacy and security review
  • Human approval points
  • Governance gates

Value and cost

Numbers you can plan on.

  • Benefit estimates
  • Build and run cost ranges
  • Payback view

Roadmap

What to do first.

  • Prioritised sequence
  • Fixed-price first project
  • Skills and ownership plan
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.

01Week 1

Discovery

Map how AI readiness works today, the systems and data involved, and agree the first measurable outcome.

You getScope, success measures and fixed price
AgentsCompassDraft
02Weeks 2–3

Design

Design the workflows, roles, integrations and approval points for AI readiness.

You getBlueprint and clickable prototype
AgentsBlueprint
03Build phase

Build in weekly demos

Your team sees working AI readiness software every week, with changes agreed in the open.

You getWorking release each week
AgentsWeldGridWatch
04Go-live

Launch and support

Data migration, training, go-live support and a measured 30-day review against the baseline.

You getLive system and 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

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
Start with Discovery Sprint
Custom route

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
Discuss Fixed-scope first release
Long-term

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
Discuss Transformation Pod
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

Mid-size manufacturer

Challenge
Many AI ideas; no priorities or view of data quality.
What we do
Two-week assessment ending in a costed roadmap and first project.

2 weeks

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 AI readiness conversation

Tell us your goals and systems. We share where AI is most likely to pay back and what the two-week assessment would cover.

  • Likely best use cases
  • Data and risk view
  • What the assessment delivers
Request your free AI readiness conversation
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.

Use cases assessedbaseline vs target
Value identifiedbaseline vs target
Data gaps foundbaseline vs target
Risks loggedbaseline vs target
Time to first projectbaseline vs target
Decision confidencebaseline vs target
FAQ

AI Readiness Assessment questions.

Ask us anything
How long does it take?

Two weeks, as a fixed-price Discovery Sprint.

What do we get at the end?

A ranked use-case list, data and systems findings, risks, cost and value ranges and a roadmap with a fixed-price first project.

Do we have to build with you afterwards?

No. The roadmap is yours.

Who needs to be involved?

A business owner, someone who knows your data and systems, and a decision-maker, for a few workshops.

What if AI is not the right answer?

We say so, and recommend simpler automation where it fits.

Start a conversation

Let's scope your AI Readiness Assessment 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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