AI agents forscheduling.

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Flexible solutions for every business model. Put agents to work to grow your business, cut costs, and work seamlessly with your team.

Use case

Customer support

Routine requests handled. Your team ready for the rest.

What it can do

  • Answer questions.

    Use current order records and approved help content.

  • Complete requests.

    Make permitted address, plan, and booking changes.

  • Route exceptions.

    Bring in the right person with the full conversation.

A delivery address changes

A customer calls to change the address on an order.

  1. AgentUnderstands the request and finds the order.
  2. RuleChecks that the order is eligible for an address change.
  3. AgentConfirms the new address with the customer.
  4. RuleSaves the approved change, sends confirmation, and logs the call.

You set the limits.

Complaints, policy exceptions, and changes outside the approved rules go to your team with the relevant records attached.

From our work

For a telehealth operator, we built agents that answer delivery questions, change plans, follow up on incomplete intake forms, and flag billing problems for a senior manager.

Find the right starting point for your support team.

Use case

Lead follow-up

Follow up while the opportunity is still there.

What it can do

  • Restart conversations.

    Follow up on unanswered quotes and incomplete inquiries.

  • Handle replies.

    Answer approved questions and offer available appointments.

  • Keep records current.

    Log activity and stop outreach when the status changes.

An unanswered quote gets a response

You sent a quote. The customer has not replied.

  1. RuleWaits the agreed interval and checks contact permissions.
  2. RuleSends a follow-up using your approved wording.
  3. AgentHandles the reply and helps the customer choose an appointment.
  4. RuleRecords the booking and stops the follow-up sequence.

You set the limits.

Replies stop the scheduled sequence while they are handled. Negotiation, complaints, and exceptions go to your team. Opt-outs end outreach.

Find the right starting point for your sales follow-up.

Use case

Connected operations

Keep work moving between your systems.

What it can do

  • Connect handoffs.

    Move information from one system to the next.

  • Keep records aligned.

    Update affected orders, dates, and customer records.

  • Surface exceptions.

    Send mismatches to a person with the supporting documents.

A supplier reports a delay

A supplier emails a revised delivery date.

  1. AgentReads the email and identifies the affected orders.
  2. RuleUpdates permitted delivery fields and queues exceptions.
  3. AgentDrafts customer notices using the revised order details.
  4. PersonReviews the notices and approves them for sending.

You set the limits.

You choose which updates can happen automatically and which need approval. Policy decisions and exceptions stay with your team.

Find the right starting point for your operational handoffs.

See it in action

Fictionalized workflows based on our work for major companies.

Customer message

My dishwasher arrived. Can I book the installation?

  1. AgentThere is an opening Thursday at 10:00. Does that work?
  2. CustomerYes, Thursday works.
  3. AgentYou are booked for Thursday at 10:00.
Booked
Thursday, 10:00
Visit
Dishwasher installation
Recorded
Booking and call notes

  1. AgentUnderstands the request.

  2. RuleRetrieves available installation slots.

  3. AgentConfirms the customer's choice.

  4. RuleSaves the booking and call notes.

Four ways a good agent dies.

  1. No access.

    It cannot finish the job if it cannot use the right tools.

    Fix: We connect the systems it needs, with permissions scoped to the task.

  2. No process.

    If the steps are unclear, the agent has to fill in the gaps.

    Fix: We document a working process before we automate it.

  3. No owner.

    Small failures accumulate when nobody is responsible for noticing and correcting them.

    Fix: We assign a named owner to review and maintain each workflow.

  4. No limits.

    Without clear boundaries, an agent can act where a person should decide.

    Fix: We define what it can do and when it must ask.

The demo always works.

Keeping agents working for your business is the hard part.

Request an audit

Already making a difference. Research and industry reports show where AI is reducing routine work.

How much time and money could you save?

Try it

500
6 min
$37
50%

Estimated time freed each month

72–108

hours a month.

About 9–14 eight-hour workdays

Estimated value of staff time$2,700–$4,000 a month

Shown against a 22-day reference month.

This values staff time only. It excludes implementation, running costs, and any work retained for review.

Turn routine work into reliable automation.

A team placing sticky notes on a printed journey map
Mapping the work

  1. Audit

    We compare your workflows, weigh the benefits, costs, and trade-offs of automation, and recommend where to start. We begin with a process that already works well.

    You getA clear plan for what to automate first, with costs and expected benefits.

  2. Build

    We connect agents and rules to your existing tools, test the workflow, and define its limits. Your team knows when it acts and when it asks.

    You getA working automation in your tools, with tested limits and clear handoffs.

  3. Maintain

    We review results, fix problems, and update the workflow as your business changes. We own the maintenance or help someone on your team take it on.

    You getA named owner and a plan for ongoing review, fixes, and updates.

Your infrastructure or ours. Choose the deployment that fits your requirements.

Managed

Run by Britebot.

We host, monitor, and update your agents on infrastructure we manage, with access configured for the work they need to do.

On-premises

Run on your infrastructure.

Agents run on your infrastructure using local models, so model requests stay within your network and access follows your requirements.

A few practical questions.

What will I get from the audit?

A prioritized analysis of automation opportunities across your workflows: expected benefits, implementation and running costs, trade-offs, estimated net present value, and a recommendation on where to start. You receive the assumptions behind the estimates.

What will it cost?

The cost depends on the workflows, integrations, deployment, and ongoing support involved. Tell us what you want to automate so we can scope the engagement.

What happens when an agent gets something wrong?

We set limits and human handoffs before launch. Ongoing review identifies failures so the responsible owner can correct them and update the workflow.

Can it work with our existing tools?

We assess the connections your workflow needs, including email, calendars, CRMs, and internal systems. The audit identifies what can connect and what additional work is required.

Does our data leave our network?

That depends on the deployment and integrations you choose. We offer managed infrastructure and on-premises deployment with local models, and map the required data flows before implementation.

Who maintains the workflows?

We can handle ongoing review, fixes, and updates, or help a named person on your team take ownership. The maintenance arrangement is part of the engagement.

You deserve to benefit from AI. See how we can save you time with AI agents.

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