AI solutions that do real work.
Four pillars, each solving a different kind of problem. Here is what each one is, what it handles, and how it fits your business.
AI Agents
AI that talks to people and takes defined actions.
An AI agent holds a conversation and then does something with it: books the appointment, updates the record, routes the request. A conversational assistant only answers. Agents are configured with your business rules, approved knowledge sources and tools, and the actions they are allowed to take. Anything outside those rules goes to a person.
Within agreed permissions
Every agent works inside limits you approve: which systems it can read, which actions it can take, and when it must hand over to your team.
What agents can handle
- AI receptionists that answer, triage and route calls or messages
- AI voice agents for inbound calls
- Enquiry-handling agents for web, email and chat
- Lead qualification agents that ask the questions your sales team would
- Appointment-booking agents connected to your calendar
- Customer support agents grounded in your documentation
- Sales assistants that prepare research and follow-ups
- Internal knowledge assistants for your team
- Partner-support assistants for reseller and channel questions
Intelligent Automation
Workflows that connect tasks and systems.
Automation works in the background. It reads, sorts and moves information between the systems you already use, and uses AI where a step needs judgement: classifying a message, extracting data from a document, summarising a thread. The aim is to remove friction from existing processes, not to replace them.
Designed around your process
Each workflow is built for your systems and rules. We don't sell a catalogue of ready-made automations.
Workflows we automate
- Automated enquiry processing
- Lead enrichment and qualification
- CRM updates and data hygiene
- Email and message classification
- Appointment scheduling and reminders
- Document processing and information extraction
- Automated reporting
- Customer onboarding workflows
- Follow-up and re-engagement
- Internal task routing and notifications
- Sales and operational workflow orchestration
Custom AI Solutions
AI built around one specific requirement.
Some problems need their own solution: an assistant that only answers from approved documents, an AI feature inside your product, a portal that processes customer requests. The right architecture depends on the use case, your data, security requirements, the systems involved and the value expected, so we decide it with you rather than starting from a fixed stack.
Architecture follows the use case
We recommend the simplest approach that meets the requirement, including when that means not using a large model at all.
Examples of custom projects
- Assistants grounded in approved company knowledge
- Internal knowledge search and retrieval
- AI-powered customer portals
- AI-enhanced web applications
- Custom conversational interfaces
- Retrieval-augmented generation, where it suits the use case
- Integrations with CRM, ERP, scheduling and support systems
- Custom document and data processing
- AI features embedded into existing software
AI Strategy & Managed Services
From the first use case to a solution that keeps improving.
Strategy here leads to implementation, not to a report. We assess where AI would pay off, prioritise the use cases, prove the riskiest assumptions, build and integrate the solution, hand it over properly, then monitor and improve it as your team uses it.
One team, start to finish
The people who scope the solution are the people who build and support it.
What this covers
- AI opportunity assessments
- Workflow and process audits
- AI readiness assessments
- Use-case prioritisation
- Solution design and technical scoping
- Proofs of concept
- AI implementation and integration
- Deployment and operational handover
- AI workflow monitoring
- Continuous improvement
- Team enablement and training
- Managed AI solution support
Five things people often mix up
- AI agent
- Interacts with people and performs defined actions within agreed permissions.
- Automation workflow
- Connects tasks and systems in the background, using AI where a step needs judgement.
- Custom AI application
- Built for one particular use case when standard tools don't fit.
- Implementation service
- How a solution gets designed, built, integrated and handed over.
- Managed service
- How a solution is supported, monitored and improved over time.