EquAI Factory

Offer · Choose the first workflow

Sovereign AI Readiness Sprint

A short scoping engagement to decide which workflow to start with, where it should run, and what the first pilot should prove before build begins.

See if your workflow is a fit
  • 2 to 3 weeks
  • Private cloud, VPC, or on-prem
  • Human review included

Offer at a glance

2 to 3 weeks

Sovereign AI Readiness Sprint

Choose the first workflow to bring under company control.

Best when
You have several candidate workflows but no clear first choice
From your side
One technology owner who decides hosting, and one business owner who ranks workflow pain.
Hosting setup
Private cloud or VPC when the workflow can stay inside company-controlled cloud boundaries
Model approach
Open-source model shortlist aligned to workflow type, latency, and quality needs
In scope
One important workflow, one business owner, and one technology owner
Reduced dependence
Plan how to reduce dependence on per-token pricing for a recurring important workflow

Built to make company-controlled AI real for one important workflow.

What is included

What you leave with

Clear hosting, model, review, and handoff decisions.

  1. 01

    Workflow decision memo with business and technology owners aligned

  2. 02

    Infrastructure recommendation covering private cloud, VPC, or on-prem fit

  3. 03

    Open-model shortlist with tuning and evaluation plan

  4. 04

    Risk register covering review steps, access, backup paths, and change control

  5. 05

    Pilot brief with scope, model choice, hosting setup, and success criteria

Success

What success looks like

  • One workflow is clearly the right first priority
  • Leaders agree on the hosting setup, model choice, and governance needs
  • The implementation team has a build-ready brief instead of an abstract AI debate

Timeline and terms

2 to 3 weeks

Scoped to your workflow and hosting setup after the first review.

Buying conditions

When this is the right controlled first move

Use the offer that answers the next workflow, hosting, and review question.

Best fit

When to buy this

  • You have several candidate workflows but no clear first choice
  • The workflow is critical, regulated, high-volume, or strategically sensitive
  • Leadership wants less dependence on outside AI APIs before core work moves into production

Not a fit

When the workflow should wait

  • You only want generic AI ideation with no real workflow, owner, or deployment scope in view
  • The workflow has no business owner, no review step, or no meaningful metric to improve
  • Leadership wants a broad platform strategy without choosing where company control matters first

Buyer

Who usually owns the purchase

  • Technology teams deciding where company control matters first
  • Operations leaders who already know the painful workflow but need a setup under tighter control and clearer ownership
  • Security or data leaders who need the right private deployment choice before an important AI workflow goes live

Rollout cadence

How the work moves

How the 2 to 3 weeks unfold, and what we need from you.

First two weeks

  1. Review candidate workflows, current vendor dependence, and ownership

  2. Choose the likely hosting setup, model family, and tuning approach

  3. Narrow to one first workflow and draft its governance needs and success criteria for the pilot brief

Required from your team

  • One technology owner who can decide how the system should be hosted
  • One business owner who can rank workflow pain, review needs, and business impact
  • Current systems, data boundaries, workflow volume, and any hosting or residency constraints

Sprint at a glance

From candidate workflows to a build-ready brief

About 2 to 3 weeks, ending in one pilot brief your leaders can review and agree on.

Week 1
Candidate workflows, owners, and current vendor dependence
Week 2
Hosting setup, model shortlist, and review needs
Week 3
Pilot brief with scope, success criteria, and risk register
Then
Your decision on whether to move into a Pilot Build

No build starts until owners agree on the first workflow and where it runs.

What your team skips

What your team does not have to invent alone

  1. No need to debate open-source models, hosting choices, and workflow priority all at once

  2. No need for the client team to invent the control model, evaluation plan, and tuning approach alone

  3. No need to commit the first important workflow to a third-party API before the architecture is reviewed

How it is built

Scope, hosting, and model, spelled out

The decisions this offer makes, so your team can check them before work starts.

  • Scope

    Workflow scope

    • One important workflow, one business owner, and one technology owner
    • The systems, data boundaries, and review path that define the first release
    • The hosting and governance constraints for the first company-controlled system

  • Infrastructure

    How the deployment runs

    • Private cloud or VPC when the workflow can stay inside company-controlled cloud boundaries
    • On-prem deployment when the workflow requires tighter infrastructure ownership
    • A narrow serving boundary around one workflow instead of a broad platform rollout

  • Model approach

    How the model is adapted

    • Open-source model shortlist aligned to workflow type, latency, and quality needs
    • A practical approach to prompting, retrieval, tuning, or fine-tuning
    • Upgrade plan for how the workflow can improve as open-source models advance

  • Dependency reduction

    What external dependence is reduced

    • Plan how to reduce dependence on per-token pricing for a recurring important workflow
    • Plan how to reduce dependence on external model retirement and migration cycles
    • Plan how to reduce exposure of sensitive workflow traffic to third-party API surfaces

Why this offer

Choose this when the first decision is where company-controlled AI matters, not which outside AI platform to buy first.

Compare with API-first AI

Rollout support

  • Founder-led review with both technology and business owners in the room
  • Hands-on framing of hosting setup, model choice, and workflow scope
  • A build-ready brief that gives leaders one plan to decide on before the pilot starts

Relevant workflows

Use cases that fit this offer

Each has visible business pain and a clear reason to bring it under company control.

Next offer · Offer 02

Sovereign Pilot Build

Launch one company-controlled workflow with human review built in.

Move into Sovereign Pilot Build

FAQ

Questions buyers ask about this offer

Do we need a fully defined workflow before we talk?

No. A rough description of the workflow, who reviews it, what systems are involved, and where the current setup is painful is enough to start.

What do we get back from a workflow review?

A workflow review looks at one workflow and points to a first move: start a Sovereign AI Readiness Sprint, move into a Sovereign Pilot Build, or tighten the workflow first. The output is a practical recommendation, not a generic AI strategy deck.

How is an engagement scoped and priced?

Each engagement is scoped to your workflow, hosting setup, and review model after the first review, and pricing follows that scope. The offer pages list the deliverables and what we need from your team, so you can see what is included before you commit.

Can you review a workflow under NDA?

Yes. If a workflow review requires sensitive context, Equ is happy to work under NDA before deeper review materials are shared.

What if we already have an AI platform?

We do not ask you to replace it or your current systems. The review looks at one workflow and whether it needs more control than the platform gives it; if it does not, the right next step may be to tighten the workflow rather than build.

Keep reading

Next step

Ready to move this workflow?

Request a review if the workflow is clear. Use the assessment if the team still needs to narrow the first move.

See if your workflow is a fit