Skip to content
Eidral

Rebuild Departments Around AI

Agent systems built inside the software your team already runs, so finance, revenue, operations, engineering and marketing execute end to end instead of one task at a time. No generic tool that does half the job. No eighteen-month programme before anything works.

Agents run inside the systems you already own

  • Salesforce
  • HubSpot
  • SAP
  • Oracle
  • Sage
  • Snowflake
  • Jira
  • Zendesk

Connectors are configuration. The workflow logic does not change with the vendor.

One automation is a shortcut. A department is a system.

Answering email faster does not change what a finance team can carry. We build agent systems that run a process from intake through execution to reporting, so the chain runs without a person holding each link. Your close happens on a schedule instead of a heroic week. Your ops team stops working the backlog. Your reps sell rather than maintaining the CRM.

Step 1

Workflow audit

We spend three to four weeks on site watching how work actually moves between teams, systems and decision points. Process owners get shadowed rather than surveyed, because the shadow spreadsheet and the approval that happens in a hallway never come up on a call. What comes out is a system map, an exception taxonomy in your own language, the volumes behind each one, and a build plan. Credited in full against a build signed within 90 days.

Book audit
Workflow mapillustrative
Interviews
14
Systems
7
Exceptions
31
NetSuite23
Ramp17
Excel14
Outlook9
Bank portal6
Step 2

Architecture and build

We design the agent system that will run the workflow and build it against your tools, your data and the operating logic you already use. One model call where a judgement is genuinely required, deterministic code around it, roughly 85/15. That ratio is the accuracy argument and the margin argument at once, and it is why these hold up once volume arrives. You see the build as it happens.

How a run works
Exception routerillustrative · 6 steps
01Ingestdeterministic
02Extractdeterministic
03Match POdeterministic
04Classify exceptionmodel call
05Route to approverdeterministic
06Write backdeterministic

1 model call · 5 deterministic steps

Step 3

Production deployment

Agents are deployed into your stack and run on top of what you already own, so there is nothing to migrate. They operate inside existing system permissions through service accounts scoped to the actions they are allowed to take, every action is logged and auditable, and it runs on your cloud. If you already hold agreements with a model provider, we use those.

Security and governance
Deploymentyour cloud
Service accountscoped
Audit logevery action
Confidence floor0.82
Human gateover $25k
Model provideryour agreement
Step 4

Ongoing operation

Processes drift. Vendors change document formats, models get deprecated, and an agent that was right in March starts being wrong in September. After deployment we keep the decision logic sharp, retune against the corrections your team has made, swap models as better ones land, and extend the agent into the next workflow along. The monthly fee tracks that workload, not a percentage of the build.

Book audit
Runillustrative · month 09
Auto-cleared
83%
Sent to a human
17%
Vendor format changedetected
Model swapapplied
Corrections retuned42
New workflow addedAR dunning

The bottleneck is rarely the work

It is the waiting between the work. Agents remove the coordination layer that sits around a process, which is where most of the elapsed time in an operating function actually goes.

.01

Coordination stops being a job

Approvals, chasing, rekeying between systems and the daily assembly of a number somebody needs by nine. Agents carry that, and the people who were doing it move to work that needs judgement.

.02

Process runs without handoffs

A workflow that needed four people to touch it in sequence executes continuously, so throughput stops being capped by whoever is on holiday that week.

.03

Volume grows without headcount

Ten more entities or triple the invoice count stops meaning a bigger team and another coordination layer on top of it.

Where the agents run

Five Engines across the functions that actually run a company, each a set of named agents on shared capability cores. The agents bind to a connector interface rather than a vendor API, so the same exception agent runs whether the ERP is NetSuite or SAP.

  • Finance Engine

    Invoice intake through to the close, with exceptions routed to the person who can actually clear them.

    Invoice Intake · PO Match · GL Coder · Exception Router

  • Revenue Engine

    Pipeline data kept accurate without asking reps to maintain it, and contract turnaround measured in hours.

    CRM Hygiene · Deal Desk · Pipeline Inspector · Forecast Roll-up

  • Operations Engine

    Exceptions detected before they reach a customer, and intake routed without a coordinator reading every ticket.

    Exception Detector · Vendor Onboarding · Intake Router · Helpdesk Triage

  • Engineering Engine

    Review and triage load carried by agents that have read the codebase, so senior engineers stay on the hard problems.

    PR Reviewer · Ticket Triage · Code Context · Onboarding Guide

  • Marketing Engine

    Campaign build and audience activation run end to end, with attribution assembled from the systems of record.

    Campaign Builder · Audience Activation · Signal QA · Content Repurposer

  • Shared cores

    Document intelligence, response and follow-up, integration, outbound, and the analytics shell. The cores are the platform, and an Engine is a configuration of them, which is why the second one at the same client costs less than the first.

27 named agents across the five Engines
Fully integrated

Built to work with what you already run

Agents operate across your existing tools, connecting data and workflows into one operating layer. We will not ask you to migrate off anything. If you are already planning a move, we will work either side of it rather than making it a precondition.

Reference architectures

Each one documents a department end to end: the systems, the agents that run against them, the exception categories they handle, where a human gate sits, and what the work is worth with the assumptions and the discount shown. They model a department we have designed against rather than an engagement we have delivered, and they say so.

Architecture 01

Finance Engine

Invoice intake through to the close, with exceptions routed to the person who can actually clear them. Built for the CFO / Controller and designed against NetSuite, SAP, QuickBooks and the rest of the stack that function already runs on.

Agents

  • Invoice Intake
  • PO Match
  • GL Coder
  • Exception Router
  • Close Tracker
  • Vendor Comms
In preparationDemo in build

Architecture 02

Revenue Engine

Pipeline data kept accurate without asking reps to maintain it, and contract turnaround measured in hours. Built for the CRO / VP RevOps and designed against Salesforce, HubSpot, Gong and the rest of the stack that function already runs on.

Agents

  • CRM Hygiene
  • Deal Desk
  • Pipeline Inspector
  • Forecast Roll-up
  • Contract Accelerator
  • Handoff
In preparationDemo in build

Architecture 03

Operations Engine

Exceptions detected before they reach a customer, and intake routed without a coordinator reading every ticket. Built for the COO / VP Ops and designed against SAP ECC, Manhattan WMS, Ariba and the rest of the stack that function already runs on.

Agents

  • Exception Detector
  • Vendor Onboarding
  • Intake Router
  • Helpdesk Triage
  • Returns Disposition
In preparationDemo in build

Spend a model call where a judgement is needed. Write code for everything else.

Deployments that fall over in production tend to be mostly model and a thin shell of code. Inverting that is what makes an agent survive volume, and it is why the monthly cost of running one is small enough to be worth paying.

85 / 15
Code to model

Across every Engine we build

1
Model call

Per workflow, where judgement is required

3–4
Weeks on site

The audit, credited against the build

27
Named agents

Across the five Engines

Frequently asked questions

What operating partners and department heads ask before an audit.

What happens during the discovery call?

A working session rather than a pitch. Bring the workflow you would fix first and we go through the volume behind it, the systems that hold the data, where the exceptions come from, and what a build against it involves. You should leave knowing whether this is worth doing, including when the answer is that it is not.

How much involvement is required from our team?

Under 20 hours in total across everyone involved, for the whole audit, and that is the number we hold ourselves to. Most of it is shadowing people while they do work they were going to do anyway, in sessions of 45 to 90 minutes. Nobody is asked to fill in a questionnaire or assemble a data pack.

How long does it take to deploy?

Six to twelve weeks after the audit, depending on complexity and how many systems have to be connected. Access provisioning is usually the real constraint rather than the build. The highest-volume exception type ships first, so the thing that proves the build is also the thing that pays for it.

How do you ensure security and governance?

Agents operate inside your existing system permissions through service accounts scoped to the specific actions they may take, every action is logged and auditable with its inputs and its approver, and deployment is on your cloud. If you hold agreements with a model provider already, we use those.

What can the agents actually do?

Monitor a queue or an inbox, read and extract from documents, look records up across systems, apply your rules, decide where something should go, draft and send correspondence, write back to a system of record, and escalate to a person when confidence or value crosses a threshold you set.

Will they work with our existing tools?

Yes, through APIs and the same integration surfaces the rest of your stack uses. Agents bind to a connector interface rather than to a vendor's API, so the ERP being NetSuite instead of SAP changes the connector and leaves the workflow logic alone. Nothing gets migrated.

Is every deployment custom?

The Engine and its cores already exist. What is built for you is the connectors, the thresholds, the approval matrix and the exception categories the audit found, in the language your team already uses. That is why the second Engine at the same client costs less than the first.

How does pricing work?

Scoped after the discovery call, once the department, the systems and the volumes are known. The audit is a fixed fee agreed before it starts, with no hourly billing, and it is credited in full against a build signed within 90 days. Builds are fixed fee as well, and the monthly run fee tracks the workload of keeping the agents correct rather than a percentage of the build.

Schedule discovery

Start with one department

Book audit
Reference

See how an Engine is put together

View architectures