Functional
Agents
One agent per function, wired into the tools you already have. Accounting, support, ops gain a teammate. The human keeps the decision, not the chore.
One more tool, or a teammate
Beside the function, never inside it
- One more interface to learn, feed and maintain
- It ignores your chart of accounts, your processes, your ops rules
- Data is copied over, so duplicated and quickly stale
- Without a clear guardrail, delegating stays a risk nobody dares
Inside your tools, calibrated to your function
- It reads and writes in the accounting, support and ops you already have
- It knows your documents, your processes and your real rules
- No migration, no duplicate: connection via native connector
- Validation checkpoints calibrated to each function's risk
Why AI stays at the door
-
One more tool
Every AI solution promises to change everything, provided you learn a new interface, copy your data into it and maintain it. In the end, the team has one more piece of software to manage and the same work to do. The AI stays next to the function, not inside it.
-
The generic that knows nothing
A generalist AI assistant knows neither your chart of accounts, nor your support process, nor your ops rules. It answers well on paper but beside the point in the field. Without specialisation, AI stays a demo, not a teammate.
-
The fear of losing control
Delegating functional work to an AI worries people, rightly so: what happens if it errs on an accounting entry or a client commitment? Without clear guardrails, automation is a risk nobody dares take.
Not one assistant,
a team of agents.
One agent
per function
Accounting agent
+ Pennylane
Support agent
+ Zendesk
Operations agent
+ Notion
Per-function validation
+ LangGraph
The same function, unburdened.
Three workload indicators, measured before and after deploying the agents, at constant headcount.
Each one specialised, none generic
A functional agent is only useful if it knows the field. Each is calibrated on its function's tools, documents and rules.
- Accounting
It knows your chart of accounts
The accounting agent reads your real documents, applies your posting rules and prepares clean entries. The accountant validates instead of keying, and keeps control of everything that ships.
- Support
It knows your response processes
The support agent triages, answers the documented and escalates the rest, fed by your real procedures. The human team only sees the cases that need judgement, around the clock.
- Ops
It knows your dashboards
The ops agent tracks tasks, follows up internally and keeps the boards current from your tools. Leads steer on clean data instead of chasing statuses.
Tools
deployed
| Category | Tool | Role |
|---|---|---|
| Reasoning model | Claude Sonnet 4.6 | Agent core: functional reasoning, routing decisions, summaries. |
| Volume model | Claude Haiku 4.5 | Volume handling: entries, reconciliations, sorting and extraction per function. |
| Creative model | Claude Opus 4.8 | Nuanced functional writing, procedures, letters and in-depth summaries. |
| Functional tools | Pennylane · Zendesk · Notion | Agents read and write in your existing accounting, support and ops tools. |
| Integration | MCP · Connecteurs natifs | Secure connection to software in place, no migration, no data duplication. |
| Durable workflow | LangGraph | Durable agent loop with human validation checkpoints per function. |
We did not add a piece of software. We gave each team a teammate, inside the tools it already used.
Every function,
augmented.
45 minutes. We look at your current functions, price the agents to deploy first. If we have nothing to offer, we say so.