AI consulting, implementation, and managed services.
We help organizations plan, build, and operate AI systems that fit their business. From AI strategy and custom development to integration, deployment, and ongoing support, we turn your priorities into a clear scope of work.
30 minutes on Zoom to discuss your needs and a practical next step.Illustrative workflow
Expertise for every stage of your AI project
Consulting & advisory
We help you identify valuable AI use cases, assess feasibility, and define an implementation roadmap around your business priorities.
Our work includes: Use-case prioritisation, model selection, architecture planning, and reviews of data readiness and security requirements.
Implementation & integration
We develop AI applications, agents, and workflows, then connect them to your data, products, and business systems.
Our work covers: Development, API integration, testing, deployment, documentation, and team onboarding.
Managed services
We support the ongoing operation and improvement of your AI systems through monitoring, maintenance, evaluation, and optimisation.
We agree on responsibilities, support coverage, and improvement priorities as part of the engagement.
Bring AI into your business
We build custom AI applications and product features, from internal tools to customer-facing assistants, using models suited to your requirements.
We design agents and workflows that use your tools, coordinate tasks, and route important actions for human approval.
We connect AI to approved company information for document search, extraction, and answers with source references and access controls.
We connect AI capabilities to your APIs, data pipelines, CRM, and internal platforms so they fit into existing operations.
We configure AI assistants, coding tools, and team workflows, with tool connections, reusable instructions, documentation, and onboarding.
Flexible models and deployment
We work with Anthropic models, OpenAI models, and open-source models. We select the right fit based on your use case, output quality, data requirements, performance, and budget.
We adapt deployment to your infrastructure and preferred environment, using AWS, Google Cloud, Microsoft Azure, direct model APIs, or self-hosted options where the selected model supports them.
How we work
Consulting, implementation, and managed service engagements each follow the same three stages. We agree on scope and deliverables before any work begins.
We review your objectives, systems, and constraints, then agree on the scope, deliverables, success criteria, timeline, and pricing approach.
We carry out the agreed advisory or implementation work, review progress with your team, and validate deliverables against the project requirements.
We document the work and help your team take ownership. For ongoing engagements, we provide the managed services and improvements agreed in the scope.
Before we talk
Can we engage you for consulting only? +
Yes. We can provide a focused assessment, architecture review, or implementation roadmap without requiring a development engagement.
Can you work with our existing tools and AI systems? +
Yes. We assess your current setup and can scope integrations, improvements, or support around what you already have.
What does ongoing support include? +
Depending on the engagement, it can include monitoring, maintenance, incident investigation, model or workflow updates, and performance reviews. Coverage and responsibilities are agreed upfront.
How much will it cost, and how long will it take? +
That depends on the services, integrations, data, and delivery requirements. We propose a scope, timeline, and pricing approach before work begins.
Clients we've worked with
Let's discuss your AI project
Whether you need advice, implementation, or ongoing support, we'll help you define the right next step.