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AT ATIENZA TEAM
Services

From a free conversation to a system your team runs.

One ladder. The audit decides what to build, the sprint fixes one workflow, the Workflow System Build connects the operation, and Managed AI Systems owns what happens after launch. Prices are starting anchors for transparent, boutique expertise, set in writing before anything starts.

01 · Entry

Start with a conversation. Both are free and neither obliges you to anything.

Entry

Free AI Systems Consultation

$020–30 minutes
Solves
You have a manual, fragile or disconnected process and want to know whether it is worth fixing and how.
For
Founders, operations leaders and department heads with a process they can describe.
Entry

Free Solution Demo

$0
Solves
You want to see what a system like yours looks like before committing.
For
Qualified prospects after the consultation.
See a solution demo
02 · Diagnose

When it is not yet clear what to automate first, or how much it would take.

Diagnose

AI Systems & Automation Audit

$3,5007–10 business days
Solves
Several processes are manual or messy and nobody can say what to automate first, in what order, or what it would cost.
For
Operations leaders with inputs in five formats, exceptions with no owner, spreadsheets as the system of record.
Scope
Up to 3 core business processes.
03 · Build

From one well-defined workflow to a connected operational system.

Build

Automation Sprint

$5,5003–4 weeks
Solves
One repetitive process eats hours every week and errors surface too late to fix cheaply.
For
A team with one well-defined workflow, a named owner and a handful of tools.
Scope
One workflow, up to 3 major integrations.
Flagship

Workflow System Build

$14,5006–8 weeks

Most engagements either start here or arrive here after a Sprint. Everything smaller is a step toward it; everything larger is built on the same principles.

Solves
Work moves between tools by hand; nobody can see what is in flight, who owns it or what is waiting on approval; one person's head is the system.
For
Operations leaders and founders running two to four connected workflows across the tools they already use.
Scope
2–4 workflows, up to 6 core integrations.
Build

Advanced AI Operations System

$27,50010–14 weeks
Solves
The operation spans several teams and many systems; the problem is coordination, state and control across all of them.
For
Multi-team operations with 4–8 workflows and up to about 12 systems.
Scope
4–8 workflows, up to approximately 12 systems/integrations.
Build

Custom / Enterprise

From $40,000
Solves
Regulated, multi-department, migration-heavy or security-intensive operations that need a bespoke programme.
For
Larger organisations with compliance, security or migration constraints.
04 · Operate

What happens after launch: monitoring, exceptions, improvements and ownership.

Operate

Managed AI Systems — Care

$1,500/month
Solves
A launched system needs someone watching it so it does not quietly rot.
For
Teams with a live system and no in-house owner.
Recommended after a Workflow System Build

Managed AI Systems — Optimization

$3,000/month
Solves
The system is live and should keep getting better as the business changes.
For
The default after a Workflow System Build.
Operate

Managed AI Systems — AI Operations Partner

$5,000/month
Solves
AI operations across several systems need an owner, a roadmap and a steady hand.
For
Operations with several live systems and a growing automation roadmap.
Operate

Custom Fractional AI Team

$7,500–$15,000+/month
Solves
You need an AI systems team inside the business without hiring one.
For
Rare; by conversation.
How the ladder fits together
  1. Audit decides what to build and in what order.
  2. Sprint fixes one defined workflow properly.
  3. Workflow System Build creates the connected operational system. Most engagements start or arrive here.
  4. Advanced and Custom / Enterprise handle broader, multi-department or regulated operations.
  5. Managed AI Systems owns what happens after launch.
What a free solution demo is

After the consultation, if a comparable system exists, we walk you through it: the architecture, the workflow, and a sandbox or mockup where that helps. It is not free custom implementation, not a production proof of concept, and not free architecture consulting.

Where human review sits

Every system we ship is mapped, tested, monitored and documented, with human checkpoints wherever judgement, risk or accountability requires them. Routine, validated steps run on their own.

How a project actually runs.

Five stages, each with an owner and an exit condition. Click a number to focus a stage.

Discover

Interviews and walkthroughs with the people who run the work today, not just the people who describe it.

Exit: agreed problem statement and success criteria.

Map and prioritise

Current-state map, manual effort sized, opportunities ranked by value against effort and risk.

Exit: a prioritised scope you have signed off.

Design and build

Rules, data model, and workflow designed in writing, then built in increments you review as they land.

Exit: working system with rules implemented as agreed.

Validate with human review

Test scenarios for the awkward cases, plus the approval gates that keep automated output from acting unchecked.

Exit: exception handling proven against real edge cases.

Launch, document, improve

Launch with operating procedures and training, then refine against what actually happens in use.

Exit: your team can run it without us.

Have a workflow in mind? Twenty to thirty minutes is enough to tell you which rung fits.

Plan a free AI systems consultation