G RATIO TECH

AI automation for businesses

Less repetitive work.
More room to focus.

Connect your tools and simplify the workflows that slow your team down. Use AI where it adds value, with clear limits and human oversight.

Discuss your project

Start with the workflow

Useful automation solves a specific problem.

The right solution may be a straightforward integration, a rules-based workflow, or an AI-assisted tool. We choose after understanding the work.

Document processing

Extract agreed fields from documents, flag missing information and route uncertain results for review.

Connected business tools

Reduce re-entry between systems through APIs, structured data and workflow integrations.

AI-assisted operations

Help teams classify requests, retrieve relevant information or draft responses that a person can review.

Custom internal tools

Build focused tools for recurring tasks that do not fit an off-the-shelf workflow.

Illustrative workflow · not a client case study

From an incoming document to a reviewed record.

  1. 01

    Receive & extract

    Read a document and extract the fields your process needs.

  2. 02

    Validate & review

    Check required fields and send exceptions or uncertain outputs to a person.

  3. 03

    Update & track

    Write approved data to your business system and keep a useful processing record.

Feasibility depends on document quality, system access, data sensitivity and the cost of mistakes.

Built around real constraints

A small, measurable starting point.

Map the work

Document the current process, volume, exceptions and time spent. Agree on what an improvement should mean.

Test a focused pilot

Evaluate a limited workflow with representative data, quality checks and a manual fallback before wider use.

Hand over with controls

Deliver the workflow, integration notes and operational guidance, including failure handling and recurring provider costs.

Practical expectations

AI outputs can be wrong. Sensitive data, provider retention, permissions and human review must be considered before implementation. No accuracy, savings or fully autonomous operation is promised without testing your actual workflow.

A useful first conversation

Which task keeps coming back?

Describe one repetitive workflow, the tools involved and where the work gets stuck.

Discuss your project