AI integration
We integrate AI models with the data and systems your business already has. The most common request is a model that can answer questions about your customers from your own records, and the same connection lets it read incoming documents and draft replies for your team to approve.
Other simple integrations follow from the same connection. A model can sort incoming enquiries to the right team, or check a form against the records it should match. An agent can be given a defined routine task and run it on a schedule. In each case the model works from your data and inside your existing systems, with access limited to what the task needs.
What it covers
- Voice and chat agents
- Customers answered by phone or chat, from your own records and inside your existing systems. Anything beyond a routine request is handed to your team with the conversation attached.
- Retrieval over your own data
- A model is only useful once it can reach your own records. We build retrieval over the documents and data you already hold, with access controls that match the permissions of the person asking.
- Autonomous agents
- An agent that carries out a defined job on a schedule or in response to an event, and produces an output a person uses: a drafted reply, a completed form, an updated record.
- AI within existing systems
- Capability delivered inside the systems your team already works in, rather than as a separate tool with another login to remember.
- Document processing
- Inbound documents such as invoices, contracts and applications read on arrival, with the relevant information extracted and written to the system that owns it.
- Triage and routing
- Incoming work such as tickets or enquiries, classified and directed to the right team as it arrives with the relevant records already attached.
- Search across internal knowledge
- Staff able to find an answer in your own material directly, without depending on the one person who happens to know it.
- Predictable running costs
- Models are called only where they are needed. In a well-built workflow most steps remain ordinary code, which is what keeps the cost of running it predictable.