adBrain builds AI agents that reason through problems and use tools to get a job done: drafting replies, searching across document sets, extracting structured data, assembling evidence, and orchestrating multi-step workflows. We deploy them inside your environment, grounded in your data, with the access controls your business requires.
Agentic AI is one expression of adBrain’s decision-systems thesis. An agent goes past retrieval: it decides what to do next, step by step, and leaves the final judgment with your team.
What our agents do
The Responder
- Skills: Drafting grounded, source-backed replies to email and messages.
- Use case: “Draft a response to this client query about delivery terms, citing the relevant contract clauses and our standard policy.” The agent retrieves the supporting documents and proposes a cautious reply. Your team approves and sends.
The Librarian
- Skills: Advanced document retrieval, knowledge synthesis, citation generation.
- Use case: “Find every document referencing the delayed delivery, summarise the key decisions, and list the sources with dates.”
The Extractor
- Skills: Structured-data extraction from unstructured documents.
- Use case: “Process these vendor invoices and extract invoice number, total, and due date into a table I can sort and filter.”
The Analyst
- Skills: Data analysis, query generation, trend identification.
- Use case: “Analyse last quarter’s results and identify the top three drivers of the change.”
The Orchestrator
- Skills: Coordinating other agents and managing complex workflows.
- Use case: Takes a complex request, assigns parts to the Librarian and Analyst, and synthesises their findings into a single, source-backed result.
How it works: from request to result
- Understand intent. The agent works out the true goal behind your request.
- Select strategy. It chooses the right tools, data sources, and (if needed) other agents for the job.
- Execute & reason. It works iteratively (retrieving, drafting, and refining) rather than returning a single keyword search.
- Deliver with sources. You get a complete answer with the supporting trail visible, and the final judgment stays with your team.
Built for the enterprise, not the demo
Our agents inherit the same governance we build into every deployment: attribute-based access control, audit logging, and per-team cost budgets. An agent only ever sees what the requesting user is allowed to see. That is what makes agentic AI safe to deploy in regulated and commercially sensitive environments.
This is the engine behind our agentic assistant for energy engineering & fabrication, where agents draft email replies and search the full project record on demand. The underlying expertise is written up in Generative & Agentic AI; the challenge it solves is routine drafting and document-hunting.