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B2B back office:
Inbox requests handled by an AI operations agent

We built an internal AI operations agent for a growing B2B company. It processes incoming requests, chases missing information, updates business systems, routes work, follows up automatically and flags exceptions for a person to review.

Industry: Professional & Business ServicesService: AI & AutomationUpdated

AI operations layer
1
Request processing
24/7
Exception review
Human

Overview

Project
at a glance

Business
Growing B2B companyThe company handled a steady stream of customer requests, internal approvals, documents and follow-ups across email and several business tools.
Partnership
Agentic automation teamWe mapped the existing process, picked out the decisions that repeat, built the agent workflows, connected the systems and set clear points where a person approves.
Goal
Less manual back-office workGive the operations team back the hours spent copying information, chasing missing details, updating records and routing routine requests.
What we built
AI operations agentAn agent that reads incoming work, decides the next step, acts in the connected tools and asks a person only when it needs to.

The challenge

What was getting
in the way

The operations team spent much of each day reading emails, checking attachments, copying details into internal systems, asking for missing information, assigning tasks and chasing open items.

That worked while volumes were low. As the company grew, response times became harder to keep steady. Hiring more coordinators would have added cost without fixing the workflow itself, so the company chose to automate the repeatable steps and keep people responsible for exceptions and important decisions.

  • Requests waited in the inbox

    A request could sit unread until someone had time to open it, work out what it was and pass it on.

  • The same details typed twice

    Staff copied names, dates, order details, notes and status updates from one system into another.

  • Follow-ups slipped

    In busy periods, missing documents, approvals and customer replies were easy to lose track of.

The solution

What
we built

  1. 01

    Reads and sorts incoming work

    The agent reads each email, form or request, works out what the customer or colleague needs and pulls out the key details.

    Sources
    Email, forms, APIs
    Understanding
    AI classification
    Extraction
    Key details
  2. 02

    Takes approved actions

    Following the company's business rules, it creates or updates records, asks for missing information, assigns tasks, drafts replies and starts the next step in the workflow.

    Systems
    CRM, ERP, internal tools
    Logic
    Business rules
    Execution
    Tool actions
  3. 03

    Passes exceptions to people

    When details are unclear, a policy rule is triggered or an approval is needed, the agent writes a short summary and sends the case to the right person.

    Detection
    Exception rules
    Summary
    AI-generated
    Approval
    Human review

Before and after

How the work
changed

Request intake

Before

Manual inbox review

Staff opened every message, worked out the request type and decided who should handle it.

After

Automatic sorting and routing

The agent classifies each request, captures the key details and routes it using the company's business rules.

System updates

Before

Copy and paste

Information was moved by hand between email, the CRM, spreadsheets and internal tools.

After

Updates made by the agent

The agent creates and updates records directly in the systems the team already uses.

Follow-ups

Before

Relying on memory

Staff had to remember which customers, suppliers or colleagues still owed them information.

After

Follow-ups tracked by the agent

The agent tracks open items, sends approved reminders and alerts a person when something needs attention.

Key features

What made it
useful

  • MULTI-STEP AGENT

    Handles a task from start to finish

    The agent carries out a sequence of actions rather than stopping after one reply, so work moves from intake to completion.

    Business impact

    Fewer manual hand-offs

  • TOOL INTEGRATION

    Works inside the existing systems

    It connects to the CRM, ERP and internal tools the business already uses, so staff switch between screens less and stop re-entering the same data.

    Business impact

    Less copying between tools

  • HUMAN APPROVAL

    People sign off important decisions

    High-risk, unusual and approval-based tasks are kept apart from routine work, so the judgement the business still needs stays with people.

    Business impact

    Automation with oversight

Results

The business
difference

  1. SPEED

    Faster First Action on Routine Work

    Routine requests move straight away

    Routine requests are read and passed to the next step as soon as they arrive, instead of waiting in a manual queue.

    Before: Queue BasedAfter: Continuous

  2. EFFICIENCY

    Less Repetitive Back-Office Work

    Less admin for the team

    Staff spend less time copying data, creating routine records, sending reminders and moving information between systems.

    Before: Manual StepsAfter: Agent Assisted

  3. CONTROL

    More Team Time for Important Decisions

    Staff review only the exceptions

    Rather than checking every case, staff focus on exceptions, approvals and situations that need business judgement.

    Before: Review EverythingAfter: Review Exceptions

Faster delivery

Built on tested foundations

These parts were already built and tested, so we spent less time on setup and more on the client's own process, and the agent went live sooner.

  • Agent coordination

    Our coordination layer let the agent run multi-step tasks, from reading a request to updating records and sending reminders.

  • Permission controls

    Ready-made permission controls limited the agent to the tools and actions approved for each workflow.

  • Workflow tracking

    Tracking kept a record of open items and agent actions, which powers the follow-ups and the activity history.

  • Business rule layer

    The rule layer holds the company's routing and escalation rules, so they can be adjusted as the process changes.

Trust and control

How we kept it
safe and reliable

  • 01

    Set permissions for the agent

    The agent can only use the tools and actions explicitly allowed for each workflow.

    CONTROLLED ACTIONS
  • 02

    Approval before key actions

    A person's approval can be required before financial, contractual or customer-sensitive actions are completed.

    HUMAN APPROVAL
  • 03

    Activity history

    Agent actions and workflow outcomes can be logged, so the team can see what happened and improve the process.

    TRACEABLE
  • 04

    Rules that change with the business

    Rules, integrations and approval paths can be adjusted as the company's process changes.

    ADAPTABLE

FAQ

Straight
answers

Have a different question? Ask it on a 30-minute call.

Book a call

The operations team was buried in manual inbox work. Staff read every email, checked attachments, copied details into internal systems, chased missing information and followed up on open items. That held up at low volumes, but growth made response times uneven, and hiring more coordinators would have added cost without fixing the workflow.

Hand routine back-office work to an AI agent

If your operations team spends its day copying details between email and business systems, we can map that process and show which steps an agent could take on, with people still approving the exceptions.