AI agents that run your workflows.

Conveau is an AI Agent Studio. Rules, systems and institutional knowledge on one execution layer. Agents close the work inside your own tools.

Start with one workflow. We reply within one business day.

It doesn't generate replies. It decides, executes in your systems, gets measured.

Every Conveau agent runs the same four-step loop. Whatever the trigger, the value is created in the next three steps.

Observe

Gathers the context

Reads order status, product usage, CRM activity and the incoming request at once. No step before the context is complete.

Example: Refund request + order delivered 14 days ago + 2 prior returns on the account.
Runs on the memory layer

Reason

Applies rules and permission limits

Collects your business rules, policies and permission limits into one decision plane, then determines which action proceeds without approval.

Example: Return window is 30 days → eligible. Below the amount limit → no approval needed.
Runs on the reasoning layer

Act

Updates your systems

Calls APIs, updates the record, processes the payment, hands work to the right agent or the right person. It doesn't print an answer — it executes.

Example: Refund in the payment provider + record in CRM + notice in Slack.
Runs on the action layer

Measure

Improves on production traces

Every run is logged, compared against policy, measured for drift. Agents are updated on production data, not guesswork.

Example: Escalated cases are reviewed → the missing rule enters the rule set.
Runs on the evaluation loop

Not four separate tools.One operational layer.

Conveau is a four-layer execution infrastructure, not a chat interface. The products run on top of it — change one layer and all four products change with it.

Memory layer
What the Support Agent learned is already there when the Sales Agent picks the account up.
Reasoning layer
A policy is changed once and takes effect across all four products instantly.
Action layer
Integrations with write access, not a read-only knowledge base.
Evaluation loop
Every run is traced, so you can see which decision was made and why.

Which workflow is stalling?

Start with one agent. The system grows from there; the next ones inherit the same memory and the same rules.

Customer-facing

Work that runs in front of your customer

Reads the intent of the visitor who fills a cart but never completes the order, in real time. Answers whatever blocks the purchase, applies the incentive when needed, and carries on from the history the Support Agent already holds.

Evaluates recurring customer requests against your company policy and completes the necessary transactions inside your systems. What it cannot close, it hands to the right person or the right agent with the full history.

Internal

Work that runs on behalf of your team

Continuously scans competitor catalogues, price and campaign movements and signals across your market. Matches each change to your own products and accounts, scores how much it matters, and hands your team an actionable order of priority.

Analyses pipeline health, at-risk deals and forecast variance across your own systems. Joins the context the other agents produce, explains what moved, and prepares the pre-meeting brief itself.

Sales Agent

WATCHES
Session, pages and behaviourSite
Cart contents and valueOrder system
The question blocking the purchaseChat + history
ACTS
Answered it from your policyKnowledge base
Applied the incentiveOrder system
Created the payment linkPayments
HANDS OFF
Passed the qualified opportunity to salesCRM
Handed full context to the Support AgentSupport Agent
CAPABILITIES
Real-time behaviour and purchase intent
Action within your own business rules
Write access to order and payment systems
Full context handover between agents

Agents learn your industry too

The Market Intelligence Platform continuously collects what changes in your market, gives it context, and carries it into the agents' decisions.

Banking

Continuously tracks rate, lending, deposit, campaign, product, competitor and regulatory movements; matches each change to your own products and customer context.

See banking use cases

Coffee & restaurants

Tracks changes in menu, price, campaign, branch, location, competitor and customer behaviour; compares market movement against your own operation.

See coffee & restaurant use cases

Supermarkets

Continuously scans price, campaign, stock, category and competitor catalogue movements across thousands of SKUs; matches each change to your own portfolio.

See supermarket use cases

Apparel

Tracks collection, product, price, discount, stock and competitor movements; compares new drops and campaigns against your portfolio and market position.

See apparel use cases

We build your operation first,then we productise it

There is no platform in a box. We build one working agent with you, take it to production standard, and ship the next ones on the same foundation.

  1. Consult

    We map the operation

    Our team reviews your workflows and tells you which one is ready for production, which one is not, and why not.

  2. Productise

    We take it to production

    That workflow becomes a measured, versioned and traceable agent — not a prototype in a sandbox.

  3. Replicate

    Each build accelerates the next

    Every architecture that reaches production enters the Pattern Library. The second agent never starts from zero, and the third ships faster than the second. What compounds stays in your deployment, not in a roadmap.

Production is not a bigger demo

Running in production means rules are governed in one place, every decision can be inspected after the fact, and the work closes inside your own systems.

Every run kept with a full trace
Which decision was made, and why.
One place where policy lives
Update a rule once and it holds across every agent.
No new screens, queues or tools
Agents run inside the systems your team already uses.

Tell us which workflow is stalling.

No generic sandbox. We take one of your workflows and make it run end to end on your own systems.

  • Fixed-fee build, scope and price clear upfront
  • Start with one workflow, expand on the same layer
  • Runs inside the systems you already use — not another interface
Let's plan your first agent

Start with your work email. We'll ask which workflow is stalling on the next step.

Start with one workflow. We reply within one business day.

Rather talk to someone? Contact sales