Datics AI

AI consulting · Planning Sprint · 2 weeks · $5,000

AI consulting that ends in a shipped feature. Not a slide deck.

In two weeks we find the AI capabilities worth building in your product, what each one depends on and what it costs, and we hand you a fixed quote for the first one. The people doing the consulting are the people who build production AI.

Book a 30-minute Product ReviewSee what you get

  • One team

    The engineers who plan it then build it

  • Fee credited

    The $5,000 counts toward the first build

  • Within a week

    The Planning Sprint starts after you book

Plans and reviews that set the build at

Capability portfolio, ranked
Northwind Claims
CapabilityValueEffort
1. Claim summaries for adjustersHighLow
Depends on: read access to the claims notes APIOne fixed quote

Illustrative example on a fictional product. Not client work.

Who it is for

Established products. An AI mandate. No wish to start over.

Our AI consulting is the Planning Sprint: two weeks, $5,000, for one established product, run by the engineers who would build what it recommends.

CTOs and product leaders

Of established software products with customers, data and an AI mandate from the board or the market, and no wish to start over.

Private equity portfolio companies

Operating partners who need a clear, priced AI plan for a portfolio product, and a team that can then build it.

AI for private equity

What you get

Four outputs. All about your product.

Each one is ready for your team or ours to act on. See a sample Planning Sprint, the EdTech sample sprint pack or the full Planning Sprint page.

Capability portfolio

The AI capabilities worth building in your product, ranked by value to your customers and by what each one takes.

Product and dependency map

Your architecture, data, integrations and permissions as they are today, and what each capability depends on.

Production readiness plan

What must be true before AI reaches customers: evaluation, security, cost per task and the changes your product needs, and nothing more.

First capability brief and fixed quote

The first capability defined well enough to build, with a fixed price. The sprint fee counts toward it.

Try it

Rank your own AI ideas.

Type the ideas on your list and score them. The sprint does this with your product's facts instead of a guess.

Your AI ideas

Your ideas, ranked by value for the effort
High value, low effortEffort →Value →123
  1. 1. Summaries of long recordsBuild first
  2. 2. Reading uploaded documents
  3. 3. A chat assistant for customers

What the Planning Sprint checks for “Summaries of long records”

  • The data it needs, and where that data lives today
  • Whose permissions it must respect
  • How it is tested on your own cases
  • Its cost per task, and what in your product has to change

Your own guess. The sprint replaces it with your product's facts.

A different kind of AI consulting

The people who plan it. Then build it.

A strategy deck tells you what could be done. The Planning Sprint tells you what to build first in your product, what it depends on and what it costs.

Traditional consulting

A view of what could be done.

  • What you getA strategy deck
  • What it is based onInterviews and workshops
  • Who does the workConsultants, then a separate build team
  • What it costsOpen-ended fees
  • What happens nextAnother proposal
  • If you build it yourselvesYou start over with a build team

Someone still has to turn it into software.

The Datics Planning Sprint

A priced plan for your product.

  • What you getA ranked plan, a dependency map and a fixed quote
  • What it is based onYour product's code, data, integrations and permissions
  • Who does the workThe engineers who would build it
  • What it costs$5,000, counted toward the first build
  • What happens nextA fixed quote for the first capability, only if you want it
  • If you build it yourselvesThe plan, the map and the readiness plan are yours to use
  • A plan for your product
  • Planned by the builders
  • A fixed quote

How it runs

Two weeks to a plan. Then only what you choose to build.

Four steps, from a free call to the first capability in production. You can stop after the readout and keep everything.

  1. 30 minutes

    No charge

    Product Review

    You show us the product and the mandate. We tell you plainly whether the Planning Sprint is the right start.

    You keep

    A straight answer on where to start

  2. Weeks 1 and 2

    $5,000

    Planning Sprint

    Starts within a week of booking. We study your product, data and permissions with your product owner and tech lead.

    You keep

    The portfolio, the map and the readiness plan

  3. End of week 2

    Yours to keep

    Readout

    We walk your team through the ranked plan and the quote. You decide what to build, with us or on your own.

    You keep

    A fixed quote for the first capability

  4. Only if you want it

    Fee credited

    First capability

    Built by the same people who planned it, in your code and cloud, with a two-week warranty after release.

    You keep

    A live capability, its tests and its docs

Sample readiness plan

End of week 2
Evaluation
Scored on a set of past claims your adjusters already closed
Security
Each adjuster sees summaries only for claims they can open today
Cost per task
Measured per summary before release, with a ceiling agreed
Product changes
One new read endpoint. Nothing else rebuilt.

Illustrative example on a fictional product. Not client work.

Already built AI?

Start with the AI Scorecard.

It tests the feature you built on 50 of your own cases and ranks what to fix before it reaches every customer. $5,000, two weeks, and the fee counts toward production.

Take a demo to production

Know the outcome already?

Forward deployed engineers.

Skip the plan. Our engineer joins your team and owns one agreed outcome until it is live, starting with a one-week, $2,500 Outcome Sprint.

See forward deployed engineers

Try it

Not sure which start fits?

Four questions, and we show the start that fits your product, with what it costs.

  1. 01Is your product live, with customers using it?
  2. 02Have you already built an AI feature or agent?
  3. 03Do you know the outcome you need?
  4. 04Do you have engineers who would work alongside ours?

Four questions

Find the right way to start.

Answer all four and we show the start that fits your product, with what it costs. Your answers go with your booking, so the call starts where you are.

Plan first

When the thinking came first, it set the build.

Six engagements where we studied the product or reviewed the work before building, and what that changed.

Automotive and dealerships

Coast Technology

A plan to merge three legacy dealer databases into one, then the foundation built on that plan.

How it ran

  • A dedicated discovery phase on Coast's databases and code before any build sprint
  • Schema, ingestion and scheduling first, as the plan set out
  • The first dealer report delivered for review within two sprints
The plan set the buildCase study

Financial services

Peret

A short review of an inherited AI product before any new spend, then the launch work it called for.

How it ran

  • The existing work verified first, at the founder's request
  • What works, what is broken and what to fix before launch, in writing
  • The budget went into launch blockers, not a rebuild
Every milestone deliveredCase study

Marketing and media

SenTrac

A paid discovery that set the reports, metrics and designs before any engineering began.

How it ran

  • Chosen after the founder ran the same paid discovery with several agencies
  • Naming, grouping and metric definitions agreed in the prototype
  • Then two-week sprints, with the founder's feedback logged from week one
All five milestones completeCase study

Automotive and dealerships

Coast Technology

A dealer sales assistant, steered by a review of competing tools and a staged rollout we recommended.

How it ran

  • Competing dealer chat tools reviewed, then the assistant audited against them
  • A few live dealerships first, before scaling
  • The audit shaped the next proposals: lead scoring and memory across visits
In productionCase study

Construction

OCCI

An assessment of its Microsoft Copilot agent on live job cost data, with every answer checked against SQL.

How it ran

  • Inside OCCI's own Microsoft tenant, on its real setup
  • Its limits traced to one fix in the database
  • The next step agreed with the people who own the reports
Findings deliveredCase study

B2B software

Amove

A proposal, diagrams and three scope revisions for a Slack assistant, before any code was written.

How it ran

  • Scope in writing, then daily scrums against a milestone plan
  • Tested by Amove in its own Slack, with a review sheet
  • Asked to continue toward a beta
Continued toward betaCase study

More engagements that started with a plan

And more in our work

What clients say

Understood first. Then built.

Founders on how we took in their vision and shaped the requirements, in their own words.

HireInfluence · Chosen after a paid discovery

“Umair and his team at Datics have done an outstanding job developing SenTrac, our AI-powered sentiment analysis platform. What I have appreciated most is their willingness to understand our vision, work through complex requirements, and incorporate feedback as we refine the platform.”
Jason PampellManaging Director, HireInfluenceCase study

Apex · The whole feature on paper first

“Strongly recommend working with Umair and his team. Brings multiple ideas to the table to help bring a vision to life.”
Jim JabaayFounder, ApexCase study

IDEEZA · AI approach designed as one engine

“We worked with him for a very long time, and he always surprised us with his work on the project. He was always a step ahead of what we asked for, and shared his knowledge with us in other things as well.”
Moran BittonCEO and Co-Founder, IDEEZACase study

Transcripts U.S. · Built against its own checklist

“What impresses me the most is their belief in our vision and willingness to work through challenges alongside us.”
Keli McGiltonCo-founder, Transcripts U.S.Case study

5.0 average client rating

Questions

AI consulting, answered.

See how we work from the first call to production, or AI integration services.

How is Datics different from other AI consulting firms?

A large AI consulting firm usually ends with a strategy deck, then hands the build to someone else. Our consulting is a two-week Planning Sprint run by the people who build production AI, and it ends with a plan for your product and a fixed quote for the first capability.

How soon can the Planning Sprint start?

The Planning Sprint starts within a week of booking.

What do your AI consulting services include?

A two-week Planning Sprint for one product that ends with four outputs: a ranked capability portfolio, a product and dependency map, a production readiness plan, and a brief and fixed quote for the first capability. It is $5,000, and the fee counts toward the first build.

What do we need to prepare for the Planning Sprint?

Access to the product, its architecture and documentation, and a few hours from the people who know it. If you have ideas, customer requests or a board mandate for AI, bring them. We do the rest of the work.

Who from our team takes part?

Usually a product owner and a technical lead, for a kickoff, a few working sessions and the final readout. Their time is mostly spent answering questions about how the product works today.

What if we only have an idea, not a plan?

That is the most common start. The sprint turns a broad AI mandate into ranked capabilities with what each needs and what it costs, so you can decide what to build first with real numbers.

Do we have to build with Datics afterwards?

No. The plan, the dependency map and the readiness plan are yours. If you build with us, the sprint fee counts toward the first capability; if you build it yourselves, you start with a clear plan.

What happens if we build with you?

The people who planned it build it, in your code and cloud, in two-week sprints at the fixed quote from the readout. We own the delivery, the quote does not change within the agreed scope, and every capability comes with a two-week warranty after release.

Can you review AI we already built instead?

Yes. The AI Scorecard tests an AI feature you already built on 50 of your own cases and ranks what to fix before it reaches every customer. It is $5,000 for two weeks, and the fee counts toward production.

Have an AI mandate and no plan yet?

Show us the product. In 30 minutes you will know what the Planning Sprint would look at and what you would have at the end of it.

Book a 30-minute Product Review
Book a 30-minute Product Review