Intelligence

AI Solutions and Automation

AI agents, chat and voice assistants, document workflows, and model integrations that remove a specific manual task.

The problem it solves

Teams are asked to “add AI” without a task attached. The useful version is narrower. A person spends hours answering the same questions, reading the same documents, or moving the same data between systems. The project should name that task, the source of truth, and what the human still approves.

What’s included

A use-case workshop that picks one workflow, not a platform fantasy
Chat assistants grounded in your approved content
Voice agents for reception, qualification, or after-hours coverage
LLM integration with OpenAI or Claude, behind your own application
Document intake: classify, extract, and route, with a human check where it matters
Workflow automation around the model, including the systems it must update
Content generation for drafts your staff review before anything is published
Evaluation of answers against a set of real examples
Logging, rate limits, and a clear off switch
Handover of prompts, configuration, and cost controls

Key benefits

A task, not a demo

The assistant is judged on one workflow you can measure, such as qualified enquiries or documents processed.

Your content, not the open web

Answers are grounded in the sources you approve, and the system says when it does not know.

A person stays in the loop

Where a mistake is expensive, the model drafts and a member of your team confirms.

Costs you can see

Usage limits and logging are part of the design, so a busy week does not become a surprise invoice.

Technologies used

The exact stack is chosen for the project. See the full list.

OpenAI
Claude
Python
Node.js
React

How this engagement runs

01Name the workflowWe write the input, the output, and the decision a person still makes.
02Test on real examplesA small set of your documents or calls is used to see if the approach holds.
03Fit it into the systemThe assistant writes back to the CRM, inbox, or database you already use.
04Review and hand overYou get the prompts, the limits, and a way to turn the feature off.

Service questions

Will the assistant invent answers?

Models can. We reduce that by grounding replies in your content, refusing questions outside the brief, and logging what was said. We do not promise a model will never be wrong. We design for the cases where a wrong answer is unacceptable.

Can you add a voice agent for sales or reception?

Yes. The agent gets a script, a list of questions it may ask, the systems it may update, and a path to a person. It is not left to improvise on pricing or commitments.

Which model do you use?

OpenAI or Claude, chosen for the task, the document length, and your constraints on data processing. The application is written so the model can be changed later without a rewrite of the workflow.

From idea to impact.

Tell us what you want to build. We reply within one business day with the next step, not a generic pitch.

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