Service 02

AI integrations and agents

AI earns its place where people repeat the same work many times over: reviewing a hundred calls, finding a clause across three folders, writing a first draft. Everywhere else it adds cost and risk.

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This is you if

A manager can only listen to a fraction of calls; the rest go unchecked.
Answering a routine customer question means digging through documents by hand.
Your team spends time on the same qualifying questions every day.
You tried "adding AI" before, it made things up, and people stopped trusting it.

What it covers

Internal assistants that answer from your own documents: The assistant searches your instructions, contracts and knowledge base rather than the internet, and cites the source.
Agents for tickets, calls and content: Review of recorded conversations, script adherence, summaries and tags. First-pass handling of enquiries.
Security, spend limits, handover to a person: Spend is capped. Where the agent is unsure, the conversation goes to a manager instead of being invented.
Quality checks on every answer: Each answer is checked. Without that, a system like this loses trust quickly and people stop switching it on.

What changes

In the quality-control project every call gets checked rather than a sample. In the voice-agent project, managers only connect with leads that are already qualified.

How we start

A demo on your own data, then a pilot on one scenario, then CRM integration. You see the real quality before committing serious budget.

Other services

Process automation Web / SaaS development Mobile apps Backend and integrations Support and scaling

Not sure which of these you need?

That is what the first conversation is for. A short look at the task, after which the next move is clear.

Describe your project