“My order arrived damaged.”
A customer needs your help.The mirror of
your CX operations.
Mirr watches how your teams work, learns your workflows, and turns them into AI-powered operations.
Learn moreOne request. Your tools. A complete resolution.
Order #18472 found.
Customer history and order details.Replacement approved.
Policy checked. Your rules applied.“A new one is on its way.”
Reply sent. Ticket updated.
Their expertise.
More possibilities.
Keep what makes your team exceptional.
Give it room to grow.Mirr learns how your team works, turns their methods into automated workflows, and builds AI agents that follow their lead.
Your team's expertise.
Turned into AI operations.
From your team’s know-how to an agent ready to work. Watch the full journey.
First, see how the expert works.
A customer reports a damaged order. Your adviser finds the purchase, checks the return policy and approves a replacement.
The expertise becomes a workflow.
The observed steps and your policy become a draft. Your team reviews the rules, tool permissions and exceptions before any agent runs.
Give your workflow
an agent of its own.
The reviewed workflow becomes an agent in mirr. Its role, tools and handoff rules are configured, then tested before it handles a customer request.
✓ Eligible order → replacement allowed
✓ Order outside policy → human handoff
Scripted sample checks, not a live AI evaluation.Your mirror agent.
Working on a new request.
A new request arrives on WhatsApp. Follow your agent through each decision: retrieve the order, check the rule, then take the permitted action.
“Your replacement is on its way.”
Same rules. Same tools. Your expertise, reflected.Start with your team's actual work.
Care that earns loyalty.
Operations that move you forward.
Bring your team's know-how to every customer, every channel and every task.
Make every resolution a reason to stay.
Turn difficult moments into thoughtful resolutions that give customers a reason to return.
Put your best know-how to work.
Give CX teams a clear path from the work they know to agents they can configure, review and improve.
Keep the experience connected.
Bring the same process and customer context to the channels and tools your teams use.
Make the value visible.
Assess outcomes, service quality and operating costs to understand what automation brings to your business.
Meet mirr.
Your team’s expertise. Your agents. One connected workspace.
What can your team hand over next?
Find repeatable work. Turn it into a mirror agent.
Know where to start.
Follow the work through.
From your team’s know-how
to your next AI agent.
Build from the work you already do. Refine as you learn.
✓ Workflow imported
✓ Tools and rules connected
✓ Test scenarios prepared
Create your mirror agent.
Start with an observed workflow and describe the job. Bring together instructions, tools and business rules, then test the agent before it goes to work.
Some requests are missing a photo.
Ask for evidence before checking replacement eligibility.
Make every version better.
Use recurring exceptions and team feedback to improve the workflow. Review what changes, test the next version and decide when it is ready.
Understand the work.
Improve the outcome.
Discover patterns.
See recurring tasks and exceptions to identify where automation can help next.
Monitor quality.
Follow resolutions and handoffs to focus your attention where it matters.
Check the order
Ask for evidence
Ask for evidence
Check the order
Test improvements.
Compare workflow versions on the same scenarios before extending their scope.
✓ Request understood
✓ Order retrieved
✓ Policy checked
✓ Replacement created
Trace every action.
See the context, rule and tool behind each step of a resolution.
Carry the task all the way through.
Connect the conversation to the work that resolves it.
Coordinate the steps.
Turn a request into a sequence of checks and actions across the workflow.
Bring context together.
Connect the customer request with the records your team needs to act.
Within 30 days?
The same rules.
Applied consistently.
Apply your business rules.
Use your policies to decide the next step and route exceptions to your team.
Close the loop.
Update the customer and the ticket once the permitted action is complete.
More room for your team.
More care for your customers.
Explore a scenario with your own assumptions. These estimates are not a promise of results.
Give time back.
Reduce repeated lookups and manual updates.
Carry expertise further.
Apply the same reviewed rules across every workflow.
Move resolutions forward.
Connect the answer to the action a customer needs.
What could that mean for your team?
Adjust the example to explore your potential.
Calculation: volume × duration × automatable share. Value uses your hourly cost, minus the AI budget. Integration, supervision, quality assurance and exceptions must still be deducted. Released capacity does not automatically translate into cash savings.
Your questions.
Clear answers.
Where should we start?
Choose one team, a frequent task and a verifiable outcome. Keep the initial scope precise enough to observe, test and measure.
How is this different from a chatbot?
The mirr. vision goes beyond answers: understand the operations behind a request, structure their rules and build an agent that can act in authorized tools.
What happens when a case falls outside the rules?
The workflow should route the case to a team member or request approval. Escalation rules are defined before execution.
Do the demos perform real actions?
No. The journeys on this page illustrate the product vision using fictional examples. They are not connected to customer tools and perform no real operations.
How do we validate ROI?
Measure baseline time, quality and volume, then compare them with the pilot results. Include integration, oversight and AI costs to assess net value.
See what your expertise can become.
Explore the workflows, agents and opportunities that make sense for your business.
Learn more