Datics AI

How we work

From AI roadmap to production without rebuilding your SaaS.

After a 30-minute Product Review, pick a start: a Planning Sprint to plan something new, or an AI Scorecard if you have already built or tried AI ($5,000 and two weeks each; the fee counts toward production). Then we take it live at a fixed quote, changing only what the capability needs, and add more later only if you want it.

Book a 30-minute Product ReviewSee client outcomes

Already built or tried AI? The AI Scorecard ($5,000, two weeks) tests it on 50 of your own cases instead. Building EdTech software? See the EdTech offers

The method

Pick a start. Go live at a fixed quote. Add more only if you want it.

Planning Sprint or AI Scorecard, $5,000 and two weeks each.

Plan something new, or test the AI you have already built.

The path

From product understanding to production AI

Building EdTech software? See the EdTech offers →

  1. Pick a start

    Pick the right start.

    A Planning Sprint maps what to build and quotes it. An AI Scorecard tests the AI you already have on 50 of your own cases.

    • Planning Sprint
    • AI Scorecard
    • Fee credit

How we engage

Clear scope. Clear ownership. A defined outcome at every stage.

Start with a Product Review to identify the strongest opportunity. Use a Planning Sprint when the path needs to be defined, or an AI Scorecard when you have already built or tried AI. Production follows at a fixed quote, and later capabilities ship one at a time, each quoted separately. Stop after any Sprint and keep what you got.

  • Scope agreed before work starts.
  • We work inside your product, repos and release process.
  • Each engagement has a written definition of done.
01No charge

AI Product Review

30 minutes · No prep required · No pitch deck

Walk us through the product and the AI opportunity you are considering. We will identify the strongest candidate capability, surface obvious constraints and recommend the most useful next step.

What you receive
  • Initial read on the highest-value workflow opportunity
  • Early architecture and integration observations
  • Obvious data, access or permission constraints
  • Major security, tenancy or governance considerations
  • Recommendation on where to start, or whether to hold

Done means

You know whether there is a credible AI opportunity worth pursuing next.

Initial assessment, not a substitute for a Planning Sprint or AI Scorecard.

Book a 30-minute Product Review
02$5,000 fixed

Planning Sprint

2 weeks · The fee counts toward production

We understand the product, prioritize the right AI capabilities, define what each requires, and turn the first capability into an executable delivery plan.

What you receive
  • Product & workflow baseline
  • Prioritized AI capability portfolio
  • Architecture and dependency map
  • Security, tenancy and permission considerations
  • Readiness checklist: access, environments, data, APIs, permissions, integrations and approvals needed before development begins
  • The first capability, defined, with a fixed quote to build it
  • Success and evaluation criteria

Done means

A prioritized first capability and a fixed quote to take it live.

Best when the opportunity is real but the product, dependencies or first capability still need to be defined.

Scope a Planning SprintWhat the Planning Sprint delivers →
03$5,000 fixed

AI Scorecard

2 weeks · Already built or tried AI?

One AI feature you have built, live or not, tested in staging on 50 of your own cases: answer quality, data separation, misuse, cost per user and response time.

What you receive
  • One AI feature tested in staging on 50 of your own cases
  • Answer quality, grounding and response time, graded
  • Data-separation and misuse tests, and an accessibility pass on the AI screens
  • Cost per user, so the feature's margin is known
  • Ranked fixes and draft answers for your customers' security reviews
  • A fixed quote to take it to production

Done means

A scorecard, ranked fixes, draft security answers and a fixed quote. The fee counts toward production.

Best when an AI feature exists but has to hold up in front of customers and their security reviews.

Book a Product Review
04Fixed quote

Production, at a fixed quote

After any Sprint or Scorecard · The fee counts toward it

We take what your Sprint or Scorecard built or planned live for your customers, by pull request, changing only what the capability needs. After that, add more capabilities only if you want them, each at its own fixed quote.

What production includes
  • Only the access, environment, data and permission changes the capability needs
  • Evaluation, observability, approvals and audit where required
  • Release by pull request through your CI/CD
  • Measured in production: reliability, adoption and the outcome it was funded for
  • Later capabilities quoted one at a time, only if you want them

Done means

AI your customers use inside the product you already run.

Stop after any Sprint and keep what you got. Nothing ongoing unless you ask.

Book a 30-minute Product Review

What we work on

One capability can touch one or more parts of the product.

The capability determines the work underneath it. A capability may involve product experience, architecture, agent behavior, governed action, enterprise controls, or several at once.

  • Build AI into the product, one capability at a time

    Introduce multiple AI capabilities without turning the roadmap into a platform rewrite.

  • Remove the architecture blockers

    Expose the context, tools, data and permissions AI needs without reworking the whole platform.

  • Build agents people can supervise

    Give users visibility, interruption, correction and approval where it matters.

  • Turn AI output into action

    Connect AI to the workflows, APIs and systems where work actually gets done.

  • Deploy AI enterprise customers can approve

    Design around the security, data and deployment boundaries your customers require.

  • Define the first capability to ship

    Turn a broad AI mandate into a prioritized first capability product and engineering can actually build.

Explore all six solutions →

What you can expect

Working inside software you did not write is a discipline

We take responsibility for the product as it exists today — its workflows, integrations, data, permissions, accumulated business logic and the customers who depend on it.

We work in the real product

Your repos, architecture, environments and release process — not a parallel demo stack.

We ship into production

Success is a capability real customers can use and trust, with outcomes your team can measure — not a prototype.

We leave a reusable foundation

Tooling, integrations, evaluation, controls and patterns your team and the next capability can build on.

Start with the opportunity that matters.

Bring us the outcome you want and the product you already have. We will tell you what step one looks like.

Book a 30-minute Product Review