AI advisory. Implementation. Product engineering.

Find the right AI opportunities. Build the systems behind them.

We assess your processes and technology, integrate AI into existing systems, and engineer custom software products—from the first decision to production.

Our current industry focus: e-commerce brands and their operations.

  1. Assess

    Understand the process and risks.

  2. Architect

    Decide how a solution fits your systems, data and controls.

  3. Implement or Engineer

    Integrate AI into the tools you use, or build custom software when they cannot meet the need.

  4. Measure and Improve

    Track the measures agreed up front, fix what they show, and hand over.

Our Services

Three services, from the first decision to production.

Come in with an assessment, an implementation need, an audit of existing systems, or a product brief. Not every client needs all three — and they work together when a project needs more than one.

  1. Assess
  2. Architect
  3. Implement or Engineer
  4. Measure and Improve

When to call us

Four situations we are brought in for.

If one of these sounds familiar, a conversation is a reasonable next step.

You need to evaluate an AI idea before funding it.

We test the idea against your processes, data and systems, and set out the risks, the options and a way to measure it.

Service: AI Advisory & Assessment

Existing systems require an AI capability or better integration.

We connect AI to the data and tools you already run, with the controls and handover your team needs.

Service: AI Implementation & Transformation

An implementation needs review for reliability, cost, or usability.

We audit what is in place and recommend what to keep, fix, or replace.

Service: AI Advisory & Assessment

A product needs to be built or modernized around requirements existing tools cannot meet.

We discover the requirements, design the architecture, and build or modernize the application through to production.

Service: Custom AI Product Engineering

How we work

From the first decision to production.

Not every client needs all three services. You can come in with an assessment, an implementation need, an existing-system audit, or a product brief — and each step is small enough to check before the next begins.

  1. Assess

    Understand the process and risks.

  2. Architect

    Decide how a solution fits your systems, data and controls.

  3. Implement or Engineer

    Integrate AI into the tools you use, or build custom software when they cannot meet the need.

  4. Measure and Improve

    Track the measures agreed up front, fix what they show, and hand over.

Integrate AI, or build something custom?

The assessment is how we decide. In general it comes down to whether the tools you already have can do the job.

Integrate when your systems can do the job

Once connected, supervised and fed the right data, existing tools meet the requirement. The work is integration, automation and adoption.

AI Implementation & Transformation

Engineer when the requirement outgrows them

No existing tool fits how your business works, or there is a product to build or modernize. The work is discovery, architecture and delivery.

Custom AI Product Engineering

Measured against what we agree first

Before a pilot or build starts, we agree these five things with you. They keep the work from drifting, and let you judge it fairly.

  • Baseline — how the workflow performs today
  • Target measures — what “better” means, in numbers you already track
  • Scope — the one workflow, and what is out of bounds
  • Owner — who on your team decides and signs off
  • Acceptance criteria — what must be true to call it done

Our Work

How an engagement is scoped.

Verified client case studies will be shown here once clients have agreed to share them. Until then, these examples show how we scope each service. They are illustrations, not completed client projects.

Example engagementNot client work

Assessing an AI idea before funding it

AI Advisory & Assessment

Imagined situation: a team wants AI in its support process but is not sure its data, tools, and risk controls can support it.

Readiness assessmentPrioritized opportunitiesInvestment and measurement plan
Example engagementNot client work

Putting an internal knowledge assistant into daily use

AI Implementation & Transformation

Imagined situation: staff search several tools to answer routine internal questions, and the answers are inconsistent.

AI integrationApproval controls and monitoringAdoption and handover
Example engagementNot client work

Modernizing a process that outgrew its tools

Custom AI Product Engineering

Imagined situation: an operations team runs a critical process across spreadsheets and email, and no off-the-shelf tool fits.

Product discoveryMVP developmentProduction delivery

Current industry focus

Focused on e-commerce. Built around your business.

Our current industry focus is e-commerce, where we apply our advisory, implementation, and engineering services to connected commerce operations.

Areas we look at

  • Fragmented apps
  • Support and order context
  • Fulfillment exceptions
  • Returns
  • Reconciliation

Working in another industry? The same three services apply. Tell us what you are working on.

What are you assessing, implementing, or building?

Tell us what you are working on. We will read it and reply to talk through whether an assessment, an integration, or a build is the right next step.