Support AI agent · Agent assist

Support Copilot AI Agent

Hand a draft to the person answering, surface only the part of the record the reason for contact justifies, and leave the sending to a named queue lead who edits what goes out.

Typical delivery
4–6 weeks
Deployment
Your stack
Named lead
Never sends
After launch
Agent Care

What this agent does

Drafts the reply, never sends it

In

  1. 01

    A draft is offered to the person answering, and this agent never speaks to the customer at all.

  2. 02

    A reply is sent by that person, and Art. 50(1) binds the provider of a system, not you.

Reason

  1. 03

    A draft reviewed and sent by a human as the main interlocutor is excepted by the Guidelines.

  2. 04

    A reply whose review is a mere possibility circumvents the duty, which that paragraph refuses.

  3. 05

    A draft whose object is the customer problem sits outside the four verbs of Annex III 4(b).

Decide

  1. 06

    A draft scored per person, or a ticket routed by behaviour at the desk, moves it inside.

  2. 07

    A draft tool that also scores is not classified by halves, says guidance that is still draft.

Out

  1. 08

    A draft tuned to mood is prohibited for the person answering, high-risk for the customer.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

Drafting, scoping the record to the reason for contact and logging every read belong to the agent. Sending belongs to a named queue lead, who edits the draft and owns what goes out.

Example workflow

One reply, drafted to sent

  1. 1Ticket arrives at the queueEmail, chat, web form, an in-app session or a thread routed in from another queue
  2. 2Record scoped to the reasonThe reason for contact, the fields it justifies and every read logged against the ticket
  3. 3Reply drafted for a personThe draft, what each claim rests on, the flagged lines and confidence
  4. 4Controls appliedRecord-scope checks, source checks on each claim, inference checks and confidence threshold

No human action required

Stages 1 to 4 run unaided, and nothing reaches the customer at any of them — the agent is drafting, and the lead lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the named queue lead to send.

Low confidence

Adds a second reviewer read first.

Queue lead review

The draft is held with the record it drew on, its flagged lines and the confidence.

Approve · Edit the draft · Send to reviewer

Sent — by the named queue lead

  1. 6Conversation record updatedOnly where write access and records policy allow it
  2. 7Outcome evaluatedDraft survival by intent, edit outcomes, review depth and what review found

Edits

Each lead edit is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Sending a drafted reply to a customer.
    • Deciding what the customer is owed.
    • Scoring or ranking the people at the desk.
    • Inferring the emotion of anybody at all.
  • Automation boundary

    Agent acts unaided

    • ✓Draft the reply and show the source of each claim.
    • ✓Surface only the part of the record the reason for contact justifies.
    • ✓Log every read, and every edit made before sending.
    • ✓Show how much of the draft survived, counted by intent not by person.

    Nothing reaches the customer here; a named queue lead edits the draft and sends it.

    • Judging whether a review was deep enough.
    • Telling a customer a claim has been checked.
    • Choosing which tickets a person is given.
  • Changes to scope, drafting or approval rules.

Example output

One drafted reply, annotated

This serves a desk where staff who over-read a customer record have been prosecuted as individuals while their employer was not; below is one draft exactly as the agent leaves it.

Draft output · single reply

Illustrative example
Conversation
Inbound, billing query
Drafted line
Your last invoice was raised on the older plan rate
Record surfaced
Billing fields only
Claim rests on
Plan record, 3 August 2026
Confidence
Held unsent
Sent by
The named queue lead, by name

As received

Taken from the ticket and the plan record as they stand — nothing on this side is written by the agent.

What the record holds

  • Ticket thread
  • Plan record
  • Read log

Why nothing left here

Sending a reply to a customer is a call a named queue lead makes.

What the score decides

Below the configured threshold the draft picks up a second read before the lead.

Action

ApproveEdit the draftSend to reviewer

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every reply that leaves

From the ticket in front of you

03Drafting

Draft it, then hand it over

The customer-success ticket-deflection agent answers the customer directly; this one never speaks to the customer, and the person at the desk is its user rather than its subject.

01Approved path

Review is not a rubber stamp

The exception is not a checkbox but a claim about what the person did, and an approval faster than the subject line can be read is not a review.

02Human review

What was checked, and not found

No US law requires telling a customer that a human reply was AI-drafted: the California bot statute misses on the bot, the forum and the intent, Utah needs an interaction that never happens, Colorado repealed its act.

04

Build an evidence trail

The draft, the agent who edited it and the reply that actually went stay together.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Ticketing and support desks

    • Zendesk
    • Intercom
    • Salesforce
    • Ticket threads and queue rules
  • Customer records

    • CRM
    • billing
    • order systems
    • Entitlement and plan fields
  • Knowledge and help centre

    • Zendesk Guide
    • Notion
    • Published articles and when each changed

Agent

Support copilot

  • Reads the ticket
  • Drafts the reply
  • Holds for the lead
  • Workflow and records

    • Jira Service Management
    • Slack
    • Approvals and the record of sending
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the customer

Six brakes on one descent, the last the firmest. What still rolls is drawn in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeStop drafting altogether when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, record-scope and drafting-rule configuration changes.Track
L4TraceabilityRecord what was read, the draft, the edits made and the reply that went.Record
L3Queue lead releaseHold every draft for a named queue lead; the hold governs sending, not whether the draft reads right.Gate
L2Scope guardrailsTest each draft against the record scope and the refused inferences; a failure returns the draft.Restrict
L1Confidence thresholdsRoute a weak draft to a second reviewer before the lead sees it.Require review
Model coreDraft produced — the record read, the claims, the flagged lines and confidence
L1 – L2
Test whether a draft may go out
L3
Leaves the sending to a named lead
L4 – L5
Keep the reply and the draft behind it
L6
Suggests nothing at all when signals degrade

How Nestack evaluates it

Evaluate the whole drafting run — not only the reply that goes out.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the reply the customer reads

  1. E1Final-output evaluationDid every claim in the draft rest on something in the record?
  2. E2Step-level evaluationDid the agent read only the fields the reason for contact justified?
  3. E3Tool evaluationDid it read the correct ticket and write the correct thread?
  4. E4Confidence calibrationDo weak drafts actually attract more editing before they are sent?
  5. E5Slice evaluationHow does performance change across specific ticket intents?
  6. E6Business outcomeHow many drafts needed an edit before the lead sent them?

Floor — the reply the company answers for

Failure modes

Where each failure originates in the agent

Seven failure modes, each placed where the draft first goes wrong.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • PE-03

      Record surfaced too wide

      The whole record opens for a one-field question.

    Stage gathers

    The ticket, the reason for contact and the fields

  2. 02 · Reasoning

    2 modes

    • PE-04

      Claim drafted, never checked

      A sentence asserts what no record carries.

    • PE-06

      Article cited after it changed

      The draft quotes a page that has since moved.

    Stage proposes

    The record read, the draft and the confidence

  3. 03 · Tool / write

    2 modes

    • PE-02

      Thin draft passed forward

      A weak draft moves on without the second read.

    • PE-05

      Draft bound to the wrong ticket

      The reply is filed against another thread.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • PE-01

      Approved without being read

      The draft is sent faster than it could be read.

    Stage returns

    The reply the customer reads and the record

  5. 05 · Change / Version

    1 mode

    • PE-07

      Edit lost before sending

      The record keeps the draft, not what actually went.

    Stage tracks

    Model, prompt, scope rules and article dates

  • Sev-1 · a reply sent that nobody read
  • Sev-2 · an unchecked claim reaches a customer
  • Sev-3 · signals degrade, drafting stops
See the complete Customer Support failure-mode catalogue

Affected slices

Refund requests absorb most of the editing

An intent-level review-depth figure can read clean while refund and goodwill requests carry most of the editing. Nestack reports the edit rate by intent, not only across a whole desk in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Refund and goodwill requests9.3%3.7×Review
Entitlement and plan disputes6.6%2.6×Review
Technical fault reports4.1%1.6×Watch
Order status queries1.7%0.7×Normal

Bar: edit-rate lift vs. order-status baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

What an unread draft costs

A cycle ends when the draft that went out unread is a standing case. That suite is what the next reply sent is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Approvals speed up on one ticket intent.

  2. 02

    Diagnose

    The draft that was approved in the time it takes to read a subject line is worked backwards until one cause is left standing.

  3. 03

    Improve

    The change ships numbered, and the drafts that forced it ride with it.

  4. 04

    Verify

    One draft case still failing is enough to hold the release back.

  5. 05

    Learn

    It is kept for good, and the drafting rules are amended in the same commit.

  6. Learn → Detect

    The return edge. The next draft is measured against a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, drafting workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Support-queue discovery and automation-boundary work.Week 1
  2. 02Ticketing, record and knowledge feeds.Week 1, Week 2
  3. 03Reason-for-contact and prohibited-inference mapping.Week 1, Week 2
  4. 04Ticket and record reading.Week 2
  5. 05Drafting logic and claim binding.Week 2, Week 3
  6. 06Confidence scoring and reviewer routing.Week 3
  7. 07Queue lead review workflow.Week 3, Week 4
  8. 08Ticketing-and-record integration.Week 5
  9. 09Draft and review cases.Week 4, Week 5
  10. 10Guardrails and sending controls.Week 4
  11. 11Draft-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne queue, one intent setProductionProduction support systemsAdvancedMultiple queues / brands
Introduced at Pilot
Drafting to your record and rules✓✓✓
Queue lead approval✓✓✓
Reply-corpus baseline✓✓✓
Introduced at Production
Reporting by intent—✓✓
Lead review workflow in your systems—✓✓
Approved write-back—✓✓
Ticketing-and-record integration—✓✓
Introduced at Advanced
Multi-brand drafting rules——✓
Multi-stage lead approvals——✓
High ticket volume——✓
Multi-queue drafting controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, ticket volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your live queues and the intents each one carries

    Intent mapping and record-scope binding

    Week 1
  2. 02Representative tickets from each intent

    Ticket ingestion, drafting logic and the reply baseline

    Week 2
  3. 03The record fields each reason for contact justifies

    Record-scope mapping, intent binding and the automation boundary

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Ticketing, record and knowledge assessment, then integration setup

    Week 2
  5. 05Drafts you would not want quoted

    Review cases and failure-mode testing

    Week 4
  6. 06What no draft may commit

    Confidence scoring, reviewer routing, guardrails and release controls

    Week 3
  7. 07A named queue lead who sends the reply

    Queue lead review workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

The bands below are counted, not spaced for looks; the fifth carries two because those two coincide.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Queue discovery, record-scope mapping and the automation boundary

W2Ticketing and record integration and the reply baseline

W3Drafting logic, confidence scoring and review controls

W4Evaluation suite, draft cases and failure-mode testing

W5Knowledge integration, pilot drafts and targeted corrections

W6One support month run under the queue lead, then Agent Care handover

Reading the band
A bar sits on the weeks its own work is named in, and week five carries two because both run.
At the end of W6
When the reply record validates, Agent Care takes the agent on.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Customer Support AI agent

Build a support copilot around the review your desk cannot now show it actually did.

Show us one queue and the replies it sent last week. The person who reviews the draft and sends it is the interlocutor, and the exception rests on that being true rather than on a button existing. Bring one reply approved faster than it could be read.

Typical delivery
4–6 weeks
Deployment
Your queues
Named lead
Never sends
After launch
Agent Care available

Nestack Agents · Support copilot

AGT-SUP-04 · Agent Care available after launch

Build a support copilot agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your desk

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.