03

Knowledge and automation

Agentic workflow automation

Orchestrate tools, decisions, approvals, and recovery across multi-step operational work.

Primary buyer: Operations and product leaders
01Primary buyerOperations and product leaders
02Target outcomeLess manual coordination with explicit controls and accountable exceptions
03Useful starting pointOne bounded workflow, tools and APIs, approval points, failure cases, volume, and current cycle time.
01

The real constraint

Business knowledge is fragmented, permissions matter, and a fluent answer is not the same as a correct action.

02

How we approach it

We make sources, tools, approvals, audit trails, confidence, and exceptions explicit in the workflow.

03

How we prove it

Representative tasks are evaluated end to end against correctness, completion time, exceptions, and reviewer effort.

Production system

Knowledge and automation

Controlled systems that retrieve, reason, extract, route, and ask for human judgment when needed.

  • 01Knowledge and permission model
  • 02Retrieval and structured extraction
  • 03Agent tools and workflow state
  • 04Human review and exception routing
  • 05Audit, monitoring, and retention

Typical fit

Less manual coordination with explicit controls and accountable exceptions

IndustriesEnterprise teamsProfessional servicesSoftware / SaaS
TechnologyAgentsLLMAzure

FAQ

Questions before a pilot

These answers describe how we normally work. Only a signed agreement creates commitments. Website enquiry terms

01Our documents are inconsistent and half of them are scans. Is that a problem?

It is normal, and it is the actual work. Clean, uniform documents would not need us. What matters is whether the variation is bounded, because twenty supplier formats is a project and an unbounded long tail is a different conversation. We establish which one you have during discovery, on your own documents.

02Will it act on its own, or does a person stay in the loop?

A person stays in the loop wherever an error is expensive to reverse. We agree the approval points and confidence thresholds with you, and anything below the threshold goes to a review queue with the supporting evidence attached rather than being silently guessed.

03How do you stop it inventing answers?

By grounding it in your own sources and showing them. Every answer carries the passage it came from, so a reader can check it in one click, and the system is built to say it does not know rather than to fill the gap. That reduces invention rather than eliminating it, which is why the review queue and the citations exist.

Service focus

Automation that asks permission before it acts

Multi-step work fails in the gaps: the approval nobody chased, the retry that ran twice, the exception that sat in an inbox. We automate one bounded workflow end to end, with explicit approval points, idempotent actions, and an exception path that has a named owner rather than a silent failure.

Built for
Operations and product leaders
Designed to achieve
Less manual coordination with explicit controls and accountable exceptions

What you get

  • One workflow automated end to end
  • Approval gates and permission boundaries
  • Idempotent tool calls with retry and recovery
  • Exception queue with named ownership

Need a different system?

Not quite your solution?

Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.

Your version will have different constraints.

Bring the workflow, current system, available evidence, and the assumption you trust least. We will identify the smallest useful next step.

Discuss this system