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Process · Engagement models

How we work

Four stages, each with a clear exit. You can stop after any of them with something useful in hand.

Each stage has an exit and a holdout. Nothing scales on a demo.

Principle

Human is the future of AI.

The engines we build do the counting, scoring and drafting. People decide what the business stands for, set the limits, and handle the cases that matter most.

People set the rules

Every play runs on a threshold your team controls, and your team can change it.

People take the hard cases

Return holds, large orders and upset customers go to a person, with the evidence in front of them.

People check the result

Nothing scales until a holdout shows it works and someone accountable signs off.

01 · Process

Diagnose, prototype, build, scale

You can stop after any stage with something useful in hand.

  1. 01

    Diagnose

    3 to 4 weeks

    Map the funnel, size the leaks, rank the AI plays. Exit with a funded shortlist.

  2. 02

    Prototype

    2 to 4 weeks

    Build the thinnest working version on real data. Exit with evidence, or a cheap no.

  3. 03

    Build

    6 to 12 weeks

    Production-grade models, integrations and monitoring, measured against a holdout.

  4. 04

    Scale

    Ongoing

    Extend to new markets, channels and use cases. Hand over, or keep us on retainer.

02 · Ways to buy

Three engagement models

Pricing is shared on the first call.

M1 · Fixed fee

Diagnostic sprint

Fixed scope, three to four weeks. The fastest way to an AI investment case you can defend.

M2 · Scoped per use case

Build engagement

A defined use case taken to production with your team, typically eight to fourteen weeks.

M3 · Monthly

Advisory retainer

Senior AI and commerce counsel on call. Roadmap, vendor selection, reviews and steering.

03 · Stack

We build on what you already run

Before recommending anything new.

CRM & commerce

  • Salesforce Commerce Cloud
  • Salesforce Sales & Service Cloud
  • Agentforce
  • Data Cloud
  • Shopify
  • Adobe Commerce
  • SAP Commerce Cloud
  • Oracle CX Commerce

Engagement

  • Salesforce Marketing Cloud
  • Adobe Experience Manager
  • Braze
  • Iterable
  • Klaviyo

Search & personalization

  • Algolia
  • Bloomreach
  • Constructor
  • Coveo

AI & models

  • OpenAI
  • Anthropic
  • Google Gemini
  • Open-weight models (Llama, Mistral)
  • Self-hosted and on-prem models (DeepSeek, Qwen, Kimi, GLM)

AI & decisioning platforms

  • Palantir Foundry and AIP
  • Microsoft Foundry
  • Amazon Bedrock
  • Google Vertex AI

Automation & data

  • n8n
  • Python
  • dbt
  • Snowflake
  • BigQuery
  • Databricks

Agentic commerce

  • Agentic Commerce Protocol (ACP)
  • Universal Commerce Protocol (UCP)
  • Agent Payments Protocol (AP2)
  • Model Context Protocol (MCP)
  • Visa Intelligent Commerce
  • Mastercard Agent Pay

Payments & tax

  • Stripe
  • Adyen
  • PayPal
  • Avalara
  • Zonos

Physical AI & robotics*

  • Hugging Face LeRobot
  • NVIDIA Isaac and GR00T
  • Google DeepMind Gemini Robotics
  • Physical Intelligence
  • ROS 2

* Early days. We prototype here and don't run it in production yet.

04 · Who we help

Where this works best

Businesses where a small change in conversion, basket or renewal is worth real money.

W1

Retail & DTC brands

Basket size, recovery and returns at scale.

W2

B2B distributors & manufacturers

Reorder rhythm, contract churn, account expansion.

W3

Service-contract businesses

Elevators, HVAC, imaging, linen: recurring revenue that fades quietly.

W4

Cross-border sellers

Landed cost, duties and compliance without the surprises.

Next step

Bring one number you want to move.

Thirty minutes with the founder. You'll leave with a straight answer on whether AI is the right tool for it.

Book a call

AI is… the Future.