Sindan Solutions
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Artificial intelligence

AI agents that do the work, not the demo

AI is only worth having if it takes hours off someone’s week. We build AI solutions and business automation wired into the tools you already run, with a human keeping control where it matters.

A gloved hand adjusts a lattice of forged nodes on a jig, its central node still glowing hot.

In practice

The work our agents take over

Repetitive, time-consuming work that adds nothing — exactly the work nobody on the team is asking to keep.

  • Running several inboxes: sorting, answering the routine, escalating the rest.
  • Drafting and updating quotes and invoices from a written request.
  • Capturing supplier invoices that arrive as a PDF or a photo.
  • Working inside the accounting and management software you already use.
  • Keeping the CRM filled in and current after every customer exchange.
  • Chasing unpaid invoices and unanswered quotes, at the right moment.
  • Extracting data from PDFs, spreadsheets and scanned documents.
  • Producing recurring reports and sending them to the right people.
  • Automating repetitive click-work in a browser.
  • Researching and assembling information ahead of a decision.

Our areas

Six ways to use AI in a business

Autonomous agents

An agent that reads a situation, reasons, uses your tools and acts — from a single task to a complete decision process.

Multi-agent orchestration

Several specialised agents that divide the work, delegate to each other and recover when one of them gets it wrong.

Automation pipelines

Document processing, data extraction and transformation, scheduled jobs, with a human review wherever the stakes require one.

Computer vision

Object detection and tracking, reading scanned documents, video stream analysis, quality control and visual inspection.

Conversational assistants

Assistants that understand context, handle real requests, and are connected to your CRM or your helpdesk.

Models tuned to your data

Large language models embedded in your products, and specialised on your own data so the answers are actually right.

Where we stand

A useful agent is a bounded agent

An agent left without limits eventually does something expensive, and the trust never comes back. So we set the boundaries before the capabilities: what the agent may do alone, what it must get approved, and what it may not touch at all.

Every action is logged. When the agent is not sure, it does not guess — it hands over. That discipline is what makes the system usable beyond the demo.

Talk about a first agent
Defined scopeThe agent reaches only the tools and data it actually needs.
Human approvalSensitive actions go past a person before they are carried out.
Full audit trailEvery decision and every action leaves a record you can read.
A planned fallbackOn doubt or failure, the work returns to the team without anything jamming.

Going further

The logical next step

Point AI at your stock

Supplier invoices captured on their own, stockout alerts, reports written for you.

See inventory

The system underneath

An agent needs solid software to plug into. That is where it starts.

See custom software

How a project runs

Discovery, design, build, go-live, operation.

Read the method

Which task costs you the most hours?

That is almost always where to start. Describe it and we will tell you whether an agent can take it over.

Get in touch