Agents-C
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The engine behind the transformation.

One governed knowledge base, agents that cite their sources, real connectors, and a security model that survives a person leaving.

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Sources in, one brain in the middle, agents out.

One source of truth, and every answer carries a citation back to where it came from.

Sources
ERP / finance
Data warehouse
Docs & SharePoint
Shared mailboxes
Any other system · 200+ connectors
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The foundation Governed knowledge base Indexed, permissioned, versioned. One source of truth, and every chunk is traceable.
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Agents & automations
Reconciliation agent
Inbox triage
Report builder
Q&A over policy · cited

The knowledge base is never finished. Like a memory, it keeps learning as new documents, data and decisions come in, so every agent, old or new, works from what the company knows today.

Everything laid out, so you know exactly what you're getting.

The real component list from a live engagement.

Knowledge base
Indexed, permissioned store over your documents, ERP, data warehouse and any other company system. Retrieval with citations, so every answer is auditable back to source.
Connectors
Connectors to more than 200 systems, including Microsoft 365, plus RPA or Power Automate for legacy screens without an API. Least privilege by default.
Security
Can integrate with your corporate directory, such as Microsoft Entra ID (formerly Azure AD): single sign-on, and agents inherit the groups and permissions your people already have. Remove someone from the directory and their access goes too.
Runtime
Agents on shared, containerized infra, on service accounts. Scheduled, logged, and restartable: production-grade from day one.
Governance
Every action logged, every answer cited, rules kept as versioned config. Reviewable and reversible: change is controlled, not ad hoc.
Timing
We sequence around your core system changes, so automation lands cleanly. Change goes in when it'll stick.
The three levels

How far you take it.

Avg 7% gain

Quick wins

What it involves
We spot the repetitive, time-boxed tasks and ship a focused agent for each. No re-plumbing your systems.
A typical example
Manual checks and repetitive data entry, done and verified automatically every time.
Timeline
Mapped in days, live in weeks, measured against the manual baseline.
What you get
Hours back every week, with a number you can verify.
Avg 22% gain

Custom builds

What it involves
A purpose-built agent shaped around one team's real workflow, wired into the tools they already use.
A typical example
An onboarding agent that drafts the paperwork, books the setup and answers the new hire.
Timeline
We shadow the team, model the workflow, then build and refine it with them.
What you get
A deeper lift than a quick fix, tailored to how the work actually happens.
Avg 59% gain

Core

What it involves
One shared knowledge base every agent draws from: the rules, data and know-how of the company in one place.
A typical example
A new agent instantly knows your pricing, tone and policies, with nothing to re-teach.
Timeline
Started once quick wins and custom builds prove the value, then kept up to date as the company changes.
What you get
Every future build starts ahead. This is where the value compounds.

Frequently asked questions

How is security and access handled?
Access is least-privilege and scoped per agent. Each agent runs under its own service account with an explicit allow-list of the systems it may use, read-only wherever possible. Every action is logged, and the rules agents follow are kept as versioned configuration, so every change is reviewable, auditable and reversible.
Does it integrate with our corporate directory?
It can. Agents-C can integrate with your corporate directory, such as Microsoft Entra ID (formerly Azure AD), for single sign-on and group-based permissions. Agents and the knowledge base then respect the same groups and access rights your people already have, and removing someone from the directory removes their access too.
Where does it run?
On shared, containerized infrastructure under service accounts, never on a personal laptop or a personal login. Agents run as scheduled, logged and restartable jobs, so they are production-grade from day one and keep running whoever is away.
Is our data used to train models?
No. Your data stays yours and is never used to train models. Agents use retrieval-augmented generation (RAG): they search a permissioned knowledge base built over your documents, ERP, data warehouse and other company systems, use only the passages the requester is allowed to see, and cite the source of every answer so it can be audited.
How do you prevent wrong or made-up answers?
Answers are grounded in retrieval from your own knowledge base, and every answer must cite its source. Anything the agent is unsure about is routed to a person as an exception rather than pushed through, and every action is logged, so a wrong answer can be traced back to the source or rule that caused it.
Which systems does it connect to?
The systems you already run. There are connectors to more than 200 systems, including ERP and finance tools, data warehouses, documents and SharePoint, shared mailboxes and Microsoft 365. Legacy screens without an API are handled with RPA or Power Automate behind a portal allow-list.
Who owns it afterwards?
You do. Agent rules and connector settings live as versioned configuration rather than in someone's head, every action is logged, and the setup is documented so your own team can run it. The security model is built to survive a person leaving.

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For your CEO

The business case: what the extra capacity is worth, how a small first step works and how every gain is measured.

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For your COO

How the work changes day to day: reports pulled, matching done and the inbox sorted before your team sits down.

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