Services
Six things
we build.
Custom AI development for enterprises, institutions and startups. Most projects combine two or three of these directions.
01
AI Agents
Custom AI agents for customer service, operations, research and specialised business tasks.
Work that used to wait for a person gets handled immediately, with the agent's actions and limits set by you.
Typical projects
- Customer support agents
- Internal assistants
- Research agents
- Workflow agents
- Multi-agent systems
- Tool-connected agents
Technical scope
- Tool and function calling
- Agent memory and state
- Guardrails and approval steps
- Model selection and routing
- Evaluation and monitoring
- Customer service
- Research
- Operations
02
Intelligent Business Systems
Internal platforms that connect data, people, processes and decisions in one operating system.
The information behind a decision stops living in separate tools, so the people making it can see all of it in one place.
Typical projects
- Internal operations systems
- AI extensions to an existing CRM
- Pricing and quoting systems
- Management platforms
- Approval and review tools
- AI-enabled back office
Technical scope
- Role-based access control
- Data models and audit trails
- Reporting and dashboards
- Integration with existing systems
- Deployment and environments
- Operations
- Dashboards
- Approvals
03
Workflow Automation
Automation for repetitive operations, approvals, document flows, CRM tasks and cross-platform processes.
The repetitive part of a process runs on its own, and a person stays in the loop only where judgement is genuinely needed.
Typical projects
- Document and contract flows
- Approval routing
- Sales and CRM operations
- Reporting and handovers
- Cross-platform synchronisation
Technical scope
- Event triggers and scheduling
- Queues, retries and idempotency
- Human approval checkpoints
- API and webhook integration
- Error handling and alerting
- Approvals
- Documents
- Integrations
04
Data & Knowledge Platforms
Knowledge bases, document intelligence and enterprise search your team can actually trust.
Your team gets answers with the source attached, so an answer can be checked rather than taken on trust.
Typical projects
- Internal knowledge bases
- Document intelligence
- Enterprise search
- Policy and compliance libraries
- Structured data platforms
Technical scope
- Retrieval-augmented generation
- Document ingestion and chunking
- Vector and hybrid search
- Permission-aware retrieval
- Source citations
- Model integration
- Search
- Documents
- Permissions
05
Web & Mobile Applications
Customer-facing and internal products for web and mobile, with AI built into the experience.
You get a product people can actually use, designed and built here rather than assembled from templates.
Typical projects
- Customer-facing web products
- Internal applications
- Mobile experiences
- Client portals and dashboards
- Design systems
Technical scope
- Front-end architecture
- Design system and components
- Authentication and accounts
- Performance and accessibility
- Release and app store delivery
- Web apps
- Mobile apps
- Product interfaces
06
AI Product Development
From product definition and design through architecture, engineering, deployment and ongoing iteration.
One team carries the idea from a rough brief to something deployed, and stays with it while it changes.
Typical projects
- Product definition and scoping
- Experience and interface design
- Architecture and engineering
- Deployment and handover
- Ongoing iteration
Technical scope
- Discovery and scoping
- Interface and interaction design
- System architecture
- Infrastructure and deployment
- Monitoring and iteration
- Definition
- Design
- Engineering
How we deliver.
One team across product thinking, experience design and engineering.
- UnderstandYour business problem, users and constraints.
- DefineThe scope, the priorities and the exclusions.
- DesignThe product, the flow and the interface.
- BuildWorking software, reviewed at each milestone.
- LaunchTested, deployed, handed over and improved.
Start with the workflow, not the feature list.
Tell us what is happening now, who is involved and what a useful outcome would look like.