AI Services
Less manual work. More time to move the business forward.
Start a conversationConnect AI to your workflows and systems: handling documents, routing enquiries, producing content and adding intelligent features to products.
Start with a recurring task and assess whether AI fits: what data is available, what a good result looks like and where human review is needed.
Work can connect models and tools to existing systems, build an automation or improve an AI-generated prototype. The aim is a useful process that can be tested and maintained.
What the project can include
- Operations automationThe repetitive path handled end to end — intake, extraction, classification, routing — with the exceptions sent to a person instead of guessed at.
- System and data integrationConnections to the tools you already run, so automation writes into your systems rather than becoming another place to check.
- Marketing production and campaignsAI in the production line for content, variants and campaign assets, held to your brand language rather than producing generic output at speed.
- Lead qualification and routingSort and route enquiries using agreed criteria, with human review where information is insufficient.
- Controls and measurementDefine permissions, approval points and logging around the risks and systems involved. Choose measures for output quality and handling time.
Who this is for
- Businesses with high-volume manual work that follows recognisable rules
- Marketing teams whose output is capped by production time rather than ideas
- Companies whose systems hold the answers but cannot be asked questions
- Teams who inherited AI-generated code and cannot safely change it
From need to solution
- Find where the time goesWhich work is repetitive, how often it happens, what it currently costs, and which parts genuinely need judgement.
- Pick the first targetOne process with a clear before and after, chosen so the result is measurable rather than impressive.
- Build and connectThe automation, its integrations into your existing systems, and the limits on what it may do without a person.
- Measure, then extendCompare against the baseline taken in step one. What worked becomes the pattern for the next process.
Tools and considerations by project
- Frontier model families, selected per task rather than by default
- Model Context Protocol (MCP) for tool and data connections
- Retrieval over your own documents, policies and content
- Integrations with the CRM, ERP and internal tools you already run
- Approval gates, access controls and action logging
- Baseline measurement before launch, so the effect can be shown
Common questions
Which processes can be automated?
Work that repeats and follows rules a person could write down, even complicated ones: reading documents and pulling fields out of them, sorting and routing incoming requests, moving data between systems, drafting from a template and a source. Work that turns on genuine judgement, relationships or accountability stays with people — and the honest version of this service says which is which before anything is built.
Do we have to replace our CRM or other systems?
No. The aim is to connect to what you already run, not to add another system your team has to check. Where a tool has no usable integration, that is a constraint we identify early rather than discover late.
How is AI in marketing different from the team just using a chatbot?
We connect AI use to your brand materials, systems and workflow. For example, drafts can use approved sources, pass through review and move into the tool your team already uses.
How do you keep a person in control?
Define what the system may do independently, which actions need approval and how exceptions are handled. Permissions, logging and checks depend on risk and the capabilities of connected systems.
Where is the repetitive work in your business?
Tell us which process eats the most time, or which marketing output you cannot produce fast enough. We will tell you what automating it involves.
Start a conversation