AI Co-worker

A co-worker for every branch manager. You stay in charge.

DeepQ's AI co-worker watches every queue, drafts the management pack, forecasts tomorrow and lines up the calls that save a customer. It never sleeps, never misses a signal, and never acts without your approval.

See it work

Ask for the pack. Watch it build. Approve it.

What used to take an analyst days: a plain-English request, a plan you confirm, every section drafted onto the canvas with figures bound to real data, and a person approving before anything is sent.

Report Copilot

Report canvas6 branches · last week vs previous
1. Wait & service times
2. Abandonment
3. Feedback summary
4. Employee KPI
5. Low-rated tokens to follow up

Simulation with illustrative data.

Detect, route, close

What an agent does between noticing a problem and proving it was fixed.

Spotting a breach is the easy part. The value is the chain after it: the reason attached, a named owner, an escalation if it sits, and a closed loop that shows the wait actually came down.

An SLA breach, from signal to signed-off fixTimes and thresholds are illustrative
  1. 01

    The floor is measured

    Every wait, counter status and rating is timed as it happens, not counted up afterwards.

    waiting 11m 04s · counter 3

  2. 02

    A rule fires

    A threshold is crossed, and the alert arrives with the reason already attached.

    SLA breach · 18 in hall, 2 counters closed

  3. 03

    It lands on a person

    The branch manager first; the regional head if it is still open after the grace period.

    owner: branch manager · escalates +10m

  4. 04

    Someone acts

    A counter is opened, the queue re-routed, the waiting customer told what is happening.

    counter 5 opened · 6 re-routed

  5. 05

    The fix is proved

    The wait comes back under target, and the whole chain is closed and logged.

    waiting 6m 20s · alert closed

Every alert, owner and action feeds tomorrow's staffing forecast.

An agent can detect, explain and draft, but a named person owns the actionCooldown rules stop the same problem alerting twice, so managers keep trusting the alerts.

AI-first, human-approved

Agents that run the branch with you, not instead of you.

DeepQ's agents watch, draft, forecast and route. People approve and act. Every figure is bound to the rows beneath it, every action is auditable, and it all runs on your own servers: any language model you choose to add stays inside your perimeter too.

Signal

A wait crosses the SLA, a rating drops, a question is asked, tomorrow's demand shifts.

Agent

Decides whether it matters, drafts the answer or the pack, and routes it to the right person.

Person approves

A manager acts, a reviewer approves the draft, a service team calls. Every step is logged.

Alert agent

Watches serving and wait-time SLAs, queue overflow, abandonment, low ratings and VIP arrivals; suppresses repeats; routes to the right person and channel.

Managers act; every trigger and suppression is logged.

Report Copilot

Reads a plain-English request, confirms what it understood, builds the report pack (comparisons, a page per branch, token lists) and drafts the narrative.

Every draft is reviewed and approved before it is sent.

Analytics Copilot

Answers questions about the numbers from a governed vocabulary of measures, with the reading shown so it can be corrected.

Answers are bound to rows; nothing is estimated.

Forecast agent

Projects tomorrow's token demand per branch and flags customers drifting away, from the last weeks of real activity.

Branches staff for the day they will have.

Follow-up agent

Turns low ratings into a call-back list with the customer's contact, the employee and the comment, and raises coaching flags.

Service teams call; outcomes are logged on the customer.

Guided prompts

Ready-made questions with pickers for branch, period, employee and service, so any manager can run the right report without learning a tool.

One click, same governed engine.

Safe by design

AI your risk and compliance teams can say yes to.

A person approves

The co-worker drafts, flags and suggests. Managers decide. Nothing is sent to a customer or to management without a human in the loop.

Every figure is traceable

Numbers are bound to the rows beneath them. Click any figure and see the tokens, services and branches it came from. Nothing is estimated.

Everything is logged

Every trigger, suppression, draft and approval is kept in the audit trail, ready for internal audit and the regulator.

Runs on your servers

No external AI service. The co-worker, and any language model you choose to add, stays inside your data centre in your country.

AI co-worker FAQ

What banks ask about the AI co-worker

It is the team of agents inside DeepQ: the alert agent, Report Copilot, Analytics Copilot, forecast agent and follow-up agent. Together they watch every branch, draft reports and lists, forecast demand and route work to the right person.

Give every branch manager an AI co-worker.

A 30-minute demo on your own branch data: the alert agent, a report pack built live, and tomorrow's forecast.