Navigator AI

AI consulting and development for the workflows slowing your business down.

Navigator helps you identify the right opportunity, build the solution, and keep it running. We’ll build a prototype at no cost so you can see the approach before deciding on a production engagement.

The no-cost offer covers the prototype. Production implementation and ongoing services are separate paid engagements.

Cover of Before You Build AI, the Navigator build versus buy decision guide from Focus GTS, showing its define, evaluate and decide framework

Free guide

Get the Build vs Buy Guide

Before You Build AI. Thirteen pages, with two worksheets you can fill in on screen.

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Inside the guide

What you will get

Thirteen pages written to be used in a decision meeting. Two of them are worksheets you can fill in on screen and share.

01

Start with the workflow

Define the user, the task, the current cost or delay, and the consequence of a wrong answer, before the technology decision. A title is not a project; a bounded workflow is.

02

Pick a first project

A map that weighs business value against delivery readiness, so the first build is chosen on both rather than on whichever idea is most exciting.

03

Compare buy, customize and build

One table, three paths, the same standard: workflow fit, control, integration, operations, change and exit, and proof before scale. Plus the gate an option cannot be cheap enough to skip.

04

Model the full first year

A worked first-year scenario across all three paths, with the running costs that do not appear in a demo. The figures are illustrative planning inputs, labelled as such in the guide, not market prices or quotes.

05

Define what ready means

Pilot exit criteria set against a representative test set and a human baseline, with thresholds agreed before anyone sees the results.

06

Decide who owns the day after

Ownership, support, enhancement and advice, with the boundaries written down. Plus a one page workflow brief you can fill in and take to any delivery partner.

A page from the guide plotting candidate AI projects on business value against delivery readiness, to choose a suitable first project
Find a suitable first project. Business value plotted against delivery readiness, so the first build is chosen on both.
A comparison table from the guide showing buy, customize and build against workflow fit, control, integration, operations, change and exit, and proof before scale
Compare like with like. Buy, customize and build held to one standard across six decision factors.
The one page workflow brief worksheet from the guide, with fillable fields for the workflow, baseline, desired outcome, data, boundaries, options, owner, funding and proof
Your one page workflow brief. A fillable worksheet to align the team before you talk to anyone.

The AI Execution Gap

Most companies do not have an AI access problem. They have an AI execution problem.

Every enterprise now has access to capable models, a portfolio of pilots, and no shortage of ideas. What is missing is the path from an interesting demonstration to something a business actually depends on.

Pilots that never graduate

A promising proof gets built, demonstrated, and admired. Then it stalls, because nothing about it was designed to carry real volume, real data, or real accountability.

Tools without workflows

Licenses get distributed and individuals find personal productivity gains. The underlying business process stays exactly as manual and as fragmented as it was before.

No owner after launch

Even successful builds quietly degrade when no one is responsible for quality, evaluation, and improvement once the initial project team moves on.

Knowledge locked in people

The expertise that would make an AI capability valuable sits in documents, systems, and a small number of experienced people, in formats nothing can reliably use.

What We Build

Three kinds of capability, each tied to a business outcome.

Knowledge and Documentation Systems

Turn fragmented operational knowledge into reliable, review-ready answers and outputs.

Workflow Agents

Reduce repetitive work, manual handoffs, and dependence on scarce expertise.

AI-Enabled Customer Experiences

Help customers discover, understand, recommend, and transact through natural language.

A Practical Example

From fragmented enterprise knowledge to a governed, review-ready output.

Diagram of a generalized enterprise AI knowledge workflow: scattered documents, records and systems on the left flow into a governed AI capability in the centre, and emerge on the right as a single structured, review-ready output awaiting expert sign-off

Instead of searching across disconnected documents, systems, and individual experts, a team begins with a structured draft or answer assembled from approved sources. A qualified person remains responsible for reviewing accuracy, context, and final release.

  1. Approved knowledge sources

    Policies, procedures, product information, operational records, and internal documentation

  2. Navigator AI

    A focused AI capability built around the workflow

  3. Review-ready output

    A structured answer, document, recommendation, or next action

  4. Human review

    A qualified expert validates accuracy, context, and final release

How Navigator AI Works

One workflow. Proven, productionized, then operated.

The sequence is deliberately narrow at the start. Value gets established before scope expands.

A four stage progression: a scattered pile of documents, a small illuminated proof cube, a larger enclosed production capability, and a continuously operated capability surrounded by governed outputs
STAGE 01

Choose One Workflow

Identify a specific problem tied to time, revenue, risk, or customer experience.

STAGE 02

Prove the Value

Create a narrowly scoped working proof using representative or limited data.

STAGE 03

Build for Production

Add enterprise architecture, secure integrations, access controls, evaluations, observability, governance, documentation, and deployment.

STAGE 04

Run and Improve

Navigator provides ongoing support, enhancements, quality management, and strategic advisory.

Stage 02 is where the no-cost prototype fits. We build a prototype at no cost so you can see the approach on your workflow before deciding on a production engagement. The no-cost offer covers the prototype. Production implementation and ongoing services are separate paid engagements.

Example Opportunities

Where this work tends to create the most value.

These are categories of opportunity rather than delivered products. Every engagement begins with your workflow, not a template.

Enterprise knowledge and documentation

Critical information spread across documents, systems, and teams, where producing a reliable answer or document depends on knowing where to look and who to ask.

Commerce and education discovery experiences

Catalogs and programs that customers struggle to navigate, where natural language guidance can help people find and understand the right option.

Enterprise knowledge and workflow automation

Repetitive internal processes that depend on manual handoffs, rekeying, and a short list of experienced people to keep moving.

AI-assisted Adobe and Martech operations

Campaign, content, and platform operations where routine execution consumes the capacity of specialists who should be doing higher value work.

Built for Enterprise

What separates a demonstration from something you can depend on.

Production readiness is not a final step. It is the difference between a capability that survives contact with the business and one that does not.

  • Enterprise architecture
  • Secure integrations
  • Human review and escalation
  • Evaluation and quality management
  • Observability
  • Governance
  • Documentation
  • Ongoing operational ownership

Why Focus GTS

Engineering depth, enterprise discipline, and accountability after launch.

  • Anthropic Partner
  • Claude and Claude Code experience
  • AI-native engineering
  • Enterprise architecture discipline
  • Deep Adobe and enterprise technology expertise
  • Elite onshore specialists
  • Navigator Run and Operate accountability

Navigator AI

We consult, we build, and we stay

Three things, in order. Most AI work fails in the third one.

Consult

Work out what should change

We start with the workflow, not the technology. Which task, whose job, what it costs today, and what a right answer has to look like. Sometimes the honest answer is to buy something off the shelf, and we will say so.

Build

Build the custom AI solution

We build the solution around your workflow, your systems and your data, with the evaluation and controls needed to let real users depend on it rather than merely demonstrate it.

Operate

Support, enhance and advise

After launch we provide ongoing support, enhancement and advice: who handles incidents, how improvements are prioritized and released, and who reviews usage, cost and model changes as the business moves.

The Navigator guarantee

We will build a prototype at no cost to you

Bring us a business workflow. We will build a prototype of your AI solution at no cost to you, so you can see the approach in action before deciding what comes next.

Make it specific

Together we define the workflow, the representative scenario and the question the prototype should answer, focused on a meaningful business task.

Use it to make a decision

Review the behavior, the assumptions and the gaps. A prototype helps you evaluate the direction; production readiness still requires the testing and controls set out in the guide.

Request your no-cost AI prototype

What the guarantee covers. It covers the prototype. It does not make the production build or ongoing support, enhancement and advice free, and it does not mean a prototype has passed production acceptance tests. If you proceed, the production build and a subscription for ongoing services are scoped and agreed separately. Downloading the guide does not request a prototype; the request form below does.

What workflow is your business ready to stop doing the hard way?

Tell us where work is stuck, manual, fragmented, or dependent on scarce expertise.

Submitting this form starts a conversation about your workflow and the scope of a no-cost prototype. It does not purchase a production build, and it does not instantly generate a prototype. Downloading the guide is separate and does not request a project discussion.

Discuss Your AI Project

Share a short description of the workflow. We will follow up with a straight assessment.

Looking for ongoing Adobe and Martech execution?

Navigator Run and Operate provides senior specialists embedded in your team for continuous Adobe Experience Cloud and Martech delivery.

Navigator Run and Operate