Navigator AI

Turn one high-value workflow into a production AI capability.

Navigator AI helps enterprise teams prove, productionize, and operate AI workflows tied to real business outcomes. Focused capabilities can move from validated concept to production in approximately 60 to 90 days.

Anthropic Partner

Fragmented engineering documents, drawings and data flowing through a central Navigator AI prism and emerging as governed, review-ready documents and outputs

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 engineering information to a review-ready machine manual.

An engineer in a manufacturing facility reviewing machine documentation on a tablet beside automated production equipment, with CAD schematics overlaid on the machine

Instead of assembling every manual from scattered sources and repeatedly correcting it after engineering changes, the team begins with a structured, machine-specific draft and keeps experts responsible for final review.

  1. Engineering sources

    CAD, bills of materials, controls information, supplier documentation

  2. Navigator AI

    A focused AI capability built around the workflow

  3. Review-ready output

    A machine-specific documentation draft

  4. Expert review

    The engineer validates accuracy, safety, 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.

Selected organizations can qualify for a Focus-funded proof of value. It is deliberately narrow and designed to determine whether the workflow creates enough value to productionize.

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.

Manufacturing documentation and operational knowledge

Specifications, procedures, and service history spread across systems and file shares, where finding a correct answer depends on knowing 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

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. We will determine whether it is a strong candidate for a focused proof of value.

See If My Workflow Qualifies

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