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Practice · AI Engineering

Put agents to work across the value chain.

Agents and AI-native products, built with your teams and run to production standard.

See the Demandbase story

Why now

Agents your people rely on, in production, with every action traced.

The pilot impressed the board, and nobody uses it.

Ideas tested in real use, with a time box and a stop rule.
What earned it, built to production standard.
Output your reviewers can trace and approve.

Capabilities

What we build.

One team, from the first experiment to the agents your people rely on.

Rapid experiments
Test an idea in real use, then advance, change or retire it on the evidence.
Full-stack AI product engineering
Take AI products from idea to market, alongside your product team.
Full-stack AI software engineering
Ship faster, with the review trail intact.
Agents and agentic workflows
Put agents to work, with a person approving.
Agentic quality engineering
Test the software and the AI.
AI product design
Design how people and agents work together.

Proof

Agents at work for our clients.

All case studies

Four levels of agentic maturity.

Where does your organization sit?

Agentic maturity, designed for scale

Design for scale from the start, with the right balance of people and agents. Too few agents per person leaves capacity unused. Too many overloads the people who review their work.

01
Individual augmentation
Agents automate basic tasks.
Platform
A secure, easy-to-use, single-user agent environment, such as a local app or browser extension
Data
The individual’s context: email, calendar, files and a standard knowledge base
AI
Capable foundation models for reasoning and instruction following, with retrieval
02
Workflow automation
Agents automate existing, low-complexity workflows.
Platform
A shared agent runtime with an API gateway for basic monitoring and logging
Data
Structured system data such as CRM and ERP, workflow data and schemas
AI
Small task-specific models for classification and extraction, with tool calling on enterprise APIs
03
Functional agentic workflows
Agents redesign team workflows.
Platform
A central orchestration layer with tools for hand-offs, audits and compliance
Data
Cross-system data streams, with feedback loops for learning and tuning
AI
Multi-agent systems with advanced planning and self-correction
04
Cross-functional agentic systems
Agents drive complex, cross-functional workflows and decisions.
Platform
Agent networks with governance, security, sandboxing and simulation environments
Data
Unstructured data, data mesh and federated access across domains
AI
Goal-driven agents with long-term memory and automated experimentation