Open · booking q4 2026

We take organizations from "we should do something with AI" to "AI is running in production." That journey starts with an AI Readiness Audit, continues with strategy and architecture, and ends with production systems that deliver measurable ROI.

Start with the Audit

The problem

What this solves.

The problem
  • You know AI matters but don't know where to start.
  • Your team is excited about AI but lacks a clear roadmap.
  • You have data scattered across systems with no unified architecture.
  • Previous AI initiatives stalled or delivered no measurable ROI.
  • You need someone to tell you honestly: what AI can do for your business, and what it can't.
Who it's for
  • Leadership teams exploring AI for the first time
  • Companies that tried AI and got stuck
  • Organizations with data but no AI strategy
  • Teams that need a clear, honest AI roadmap

What we build

Concrete systems, not slideware.

  • AI Readiness Audit — where you are, what's possible, what to do first
  • AI Strategy and Roadmap — a 6–12 month plan with clear priorities
  • Data architecture and pipeline design
  • AI governance, security, and compliance framework
  • Team training and AI adoption programs
  • Cloud architecture and cost optimization
  • AI proof-of-concept (2–4 weeks) to validate a specific use case
  • Full AI implementation from strategy to production

Integrations

Systems we connect to.

We integrate with your existing stack. No rip-and-replace.

  • Your existing data warehouse and databases
  • CRM, ERP, and business systems
  • Cloud platforms (AWS, GCP, Azure)
  • Data tools (Snowflake, BigQuery, Databricks)
  • AI/ML platforms (SageMaker, Vertex AI)
  • Business intelligence (Tableau, Power BI, Looker)
  • Communication tools (Slack, Teams, email)
  • Industry-specific systems (FHIR/HL7, SAP, Oracle)

The process

How the build actually happens.

  1. 01

    AI Readiness Audit

    We assess your data, tools, team, and processes. You get a clear picture of where you stand and what's possible. Two to four weeks.

  2. 02

    Strategy and roadmap

    A prioritized plan with clear use cases, expected ROI, timeline, and investment requirements.

  3. 03

    Proof of concept

    We build a working AI proof-of-concept for your highest-priority use case. Real results, not slides.

  4. 04

    Implementation

    Full implementation with production infrastructure, monitoring, and team training.

  5. 05

    Optimize and scale

    Measure ROI, tune models, and expand AI across the organization. We stay as your AI Operating Partner if needed.

Pricing

Transparent, starting at a clear number.

You won't need to guess our pricing. Every engagement starts at a published number, scoped to your problem.

Starting at$600$600 (Audit) · $12K–$60K+ (Transformation)
Timeline2–4 weeks (Audit) · 3–6 months (Full Transformation)

AI Readiness Audit is the recommended starting point. Final pricing for full transformation depends on scope, systems, and scale.

  • Clear, honest assessment of where you stand and what's possible
  • A prioritized roadmap with expected ROI for each initiative
  • Working proof-of-concept before you commit to full implementation
  • Production AI systems that deliver measurable business results
  • Team trained and confident working with AI daily

Why Sitio Labs

Builders, not vendors.

  • We run AI systems in production ourselves — 6 products, real users, real data
  • The AI Readiness Audit is fixed-price and honest — we'll tell you what AI can't do
  • No consulting theater — strategy is only useful if it leads to production systems
  • We stay in the room: audit → strategy → implementation → operations
  • Built in India. Built for the world. The same studio that ships products for us ships products for you.

Questions/ 04

Honest answers.

Still unsure?

Write to us with what you are working on. You will hear back within 24 hours.

Start a conversation

A fixed-price ($600) assessment of your data, tools, team, and processes. We deliver: a clear picture of where you stand, the top 3 AI use cases for your business, an estimated ROI for each, and a prioritized roadmap. No obligation to proceed further.

We'll tell you honestly. The audit identifies gaps in your data, tools, or processes that need to be addressed before AI creates value. A "not ready yet" answer with a clear path forward is worth more than a vague "let's do AI" plan.

Typically 3–6 months from audit to production, depending on complexity. We move fast: audit (2–4 weeks), strategy (1–2 weeks), proof of concept (2–4 weeks), implementation (8–16 weeks).

Yes. We assess what you have, what's working, and what needs to change. We don't rip and replace unless there's a strong reason.

Related

Continue exploring.

Let's talk about your problem.

You don't need to know what tech you need. You just need to know the problem. We'll map it, scope it, and tell you honestly whether we're the right builders for it.