Multi-agent automation
AgentMeshMulti-agent automation that runs entire workflows end to end.
AgentMesh is multi-agent automation. Instead of one assistant attempting everything, several specialised agents each do one job and hand work between them until the process is finished.
The problem
The work is not hard. It is just long.
A single request touches six systems and three people. Somebody reads it, looks something up, decides, copies it somewhere else, waits, chases, and closes it. No individual step is difficult, which is precisely why nobody has ever justified the cost of automating it properly.
So it stays manual, it takes four days instead of four minutes, and the status of any given case lives in somebody’s inbox.
A request goes in.A completed process comes out.
What it does
What multi-agent automation does
Splits the job into agents that each do one thing
One reads the request. One looks up the account. One decides against your rules. One writes the outcome back. Each is small enough to test, correct and trust on its own.
Passes work along without a human relay
The handoffs that currently happen by email, or because somebody noticed, happen on their own — so a case stops waiting for a person to be free.
Knows what it is not allowed to do
You set the boundaries: value limits, actions that always need a human signature, cases that must be escalated. The system stops at them rather than improvising past them.
Leaves a trail you can read
Every step records what was decided and why. When something goes wrong you can see which agent did it, not merely that the process failed.
How it works
How a process gets automated
Map the process as it actually runs
Not the flowchart on the wall — the real one, including the exceptions everybody handles by instinct. This stage usually turns up two steps that exist for a reason nobody can remember.
Give each step to an agent with one job
Narrow agents with narrow tools. A specialist that only reads documents is far easier to make reliable than a generalist that does everything adequately.
Wire in the tools and the guardrails
Each agent gets only the system access its job requires, plus the limits it must not cross and the conditions that force a handover to a person.
Run it with a supervisor
A coordinating layer tracks each case, retries what is safe to retry and escalates what is not. You watch it run alongside the manual process before it takes anything over.
Where it fits
Processes that are long, not hard
E-commerce returns and refunds
Read the request, check the order against the policy, decide, issue the label, refund, and tell the customer — without a person touching the straightforward nine out of ten.
Recruitment screening
Parse the application, check it against the requirements, arrange the first conversation, and hand the recruiter a shortlist with reasons rather than a pile.
Procurement and purchase orders
Match the request to a supplier and a budget, route approval to whoever actually holds the authority, raise the order and chase the acknowledgement.
First notification of loss
Take the claim details, pull the policy, check cover, request the missing documents, and set the file up so an adjuster starts with a complete case.
What you get
A process that runs without a relay
A process running end to end
In production, handling the case types you agreed, with everything you excluded still going to people exactly as it does now.
Guardrails written down and enforced
What it may decide alone, what needs a signature, what always escalates — in the documentation and in the code, not in somebody's judgement.
A view of every case
A dashboard showing what is in flight, what stalled and where, and what each agent decided — legible to the team that owns the process, not only to engineers.
Handover and a support window
Documentation, a walkthrough, and a period after launch where we watch real cases together and tighten the rules.
Often built alongside
- ExtractIQDocument extraction
Most processes begin with a document. ExtractIQ turns it into the structured fields the agents then act on.
- VoiceFlowVoice AI agents
A process often begins with a phone call. VoiceFlow takes the call and hands a structured request straight into the mesh.
Tell us which process takes four days.
Walk us through what happens today, exceptions included. We will tell you which steps are worth handing to agents, which should stay with people, and what the guardrails need to be before any of it runs on its own.