Enterprise AI agents
AI agents for enterprises.
Always-on agents for customer response, sales and back-office work, deployed with human approval on anything irreversible, a readable log of every action, and an exception queue instead of a best guess. Built by a team that started in risk advisory, to the standard a CFO can sign off.
The agents
Six places agents earn their keep.
Each agent prepares the work and takes the routine decisions it is allowed to take. Named people take the rest.
Customer response
Answers customers on chat, WhatsApp and email at any hour, from your own policies and records, and hands the conversation to a person when it should.
Sales
Captures and qualifies every enquiry, researches the account, drafts the follow-up and books the meeting, so no lead waits until Monday.
Back-office
Data entry, document checks, order processing and reconciliations taken off your team, with every record it touches traceable to the step that changed it.
Finance operations
Invoice capture, payment follow-up, vendor queries and month-end preparation. Anything that moves money waits for a named approver.
Compliance and audit support
Evidence collection, control testing support, exception reporting and audit-ready trails, drawing on the controls practice MNB has run for listed enterprises.
Voice
Voice agents that place and answer real calls, qualify leads, book appointments and answer customers around the clock, under your own brand.
Guardrails
The controls come first, not later.
Approval gates
Human approval on anything irreversible. Agents prepare decisions; named people take them. Money, tax invoices and delivery promises wait for a tap.
Readable action logs
A readable log of every action, written for the people accountable for it: a log the CFO can read, not one only an engineer can.
Exception queues
An exception queue instead of a best guess. When an agent is unsure, the case goes to a person with the context attached, and the agent does not pretend otherwise.
How an engagement runs
- Scoping call, then a short written proposal: fixed-fee where the scope is clear, milestone-based where it is not
- Fieldwork with your teams; findings shared as they surface, not saved for a final deck
- Deliverables your internal team can maintain
- A named lead throughout; the founder stays on every enterprise engagement
What we will not do
- Automate a process that should be fixed by hand first
- Put an agent in front of money, tax invoices or customer commitments without a human approval step
- Deliver a finding we cannot show the evidence for
- Publish your name without your written consent
Integration
Agents that work inside the systems you already run.
An agent is only as useful as what it can reach. We connect agents to your existing systems rather than asking your teams to move to new ones.
Your ERP and accounting system, including Tally and Zoho
Your CRM and sales pipeline, including Salesforce
WhatsApp and email, where your customers already write
Your telephony, for inbound and outbound voice agents
Agents run on MNB Intelligence, MNB's AI layer, or on a private deployment in your own infrastructure.
Engagement model
From scoping call to agents in production.
01 · Scope
A scoping call and a short written proposal, with the process, the systems and the approval points agreed in writing.
02 · Measure
We measure where the hours and the leads are actually going before anything is built. If automation will not pay back, we say so.
03 · Build
Agents built and connected to your systems, with approval gates, action logs and exception queues in place from the first day.
04 · Go live
Agents switched on with your teams and supported until they hold under real volume.
05 · Hand over
Runbooks, logs and controls your internal team can maintain, so the programme does not depend on us.
06 · Support
Ongoing support if you want it: exception queues reviewed, new processes added, approvals adjusted as the business changes.
Scope an agent programme.
A 30-minute call with the founder, then a written proposal.