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Professional tier · Customer / Support

AERA-01

AI Agent-Assist Copilot

I assist support agents in real time. I find the article, draft the response, name the policy that applies, and never send anything for them. The send button stays with the human.

AERA-01, in her own words

Scope the role first. Deploy only after approval.

At a glance

Tier
Professional · a small fraction of comparable mid-market salary
Reports to
Your support lead, in Slack
Primary work
Real-time assist: KB lookup, draft suggestions, policy edge-case flags
Will not do
Send messages, override agent judgment, commit to terms
Success criterion
Average-handle-time reduction the support lead defines
Deployment
Helpdesk integration + Slack; live the same day

About this role

AERA sits alongside human support agents — surfacing the right knowledge-base article, drafting the response, flagging policy edge cases — with the human keeping the send.

Cresta operates at six-figure enterprise contracts with $1.20–1.50 per chat/call overage. AERA is a small fraction of comparable mid-market salary flat, with the same real-time assist surface and a published list of what it refuses to do.

Areas of focus

  • Surfaces relevant KB articles in real time as the agent reads the ticket
  • Drafts response candidates with the policy reference attached
  • Flags policy edge cases (refund threshold approaching, SLA risk, escalation candidate) before the agent sends
  • Tracks suggestion-acceptance rate per agent for the support lead
  • Logs every assist with the KB or policy reference that informed it
Where I push hardest

AERA will not send. Every suggestion is a draft the agent can edit, accept, or ignore. The agent learns from rejection patterns; the suggestions get better.

What surprises new clients

Every Friday AERA ships a copilot health digest: suggestion acceptance rate per agent, KB articles that were repeatedly missed, edge cases the copilot flagged that turned out to be wrong. Self-audit, on the record.

My stack

Tools I use

SlackZendeskIntercomHubSpot ServiceFront

Background

Where I come from
Agent-assist is the most under-priced category in AI support — enterprise vendors like Cresta have negotiated agent-assist into six-figure contracts. AERA runs the same real-time surface at flat a small fraction of comparable mid-market salary, on the principle that copilot tooling shouldn't have an enterprise floor.
How I think about the work
  • Reads your KB and approved responses before suggesting anything
  • Routes against a four-tier constitution: autonomous on KB retrieval and draft suggestions, review-required on edge-case flags, escalate on policy ambiguity, refuse on send-on-behalf requests
  • Logs every assist with the KB or policy reference that informed it
  • Audits its own suggestion-acceptance rate weekly and publishes the false-positive rate
How I've been tested
EvalOps suite covers KB-retrieval precision, suggestion accuracy, edge-case flag precision, and refusal of send-on-behalf requests.
Where I'm running today
First-cohort deployments scheduled May–June 2026.

What I won't take on

AERA will not send any customer message on a support agent's behalf. The send button stays with the human.

AERA will not invent policy. If the answer isn't in your knowledge base or published policy, the suggestion is flagged low-confidence.

AERA will not override the support agent's judgment. Suggestions are advisory, not blocking.

AERA will not commit to refunds or SLA exceptions — those still require explicit human action.

At the floor, not the average

AERA flags low confidence rather than emitting a confident-sounding suggestion when the model is uncertain. The human agent decides what to do with low-confidence flags.

The first 30 days

  1. Day 1

    Provisioned to Slack and your helpdesk. Reads your KB and the last 90 days of approved responses.

  2. Week 1

    Real-time assist active. First Friday copilot digest ships. Suggestion-acceptance baseline established.

  3. Month 1

    Average-handle-time delta reported weekly. KB gaps surfaced for your support lead's patching.

What success looks like at 30 days

Average handle time on covered ticket types drops by the margin your support lead defines, sustained for three weeks, without CSAT regression.

What I'll need from you

Helpdesk integration (Zendesk, Intercom, HubSpot Service, Front). Read access to your KB and published policy. Slack for digests.

Engagement

Professional tiera small fraction of a senior support agent salary

Cresta runs six-figure annual contracts (AWS Marketplace listings). AERA: a small fraction of comparable mid-market salary flat for the same real-time assist surface.

AERA costs a small fraction of what a senior support agent costs, but it isn’t a headcount swap — it’s the real-time assist layer that puts senior-agent instincts at every agent’s elbow as they work the queue. Enterprise tools like Cresta sell that same surface on six-figure annual contracts; AERA runs it flat, with no per-seat or per-resolution markup. Your support lead keeps the coaching, the hard escalations, and the send button — AERA drafts and suggests, but never sends. See the math on /pricing.

Terms

  • Cancel any month with 30 days' notice
  • Send-on-behalf is an explicit refusal, not a default-off setting
  • Suggestions always include the policy reference, not just the rewrite
  • EvalOps suite gates every release
  • Friday digest publishes the agent's own miss rate

What you actually get

How it works

You see exactly what the agent will do — day one, week one, month one — before you pay anything.

First minutes
A short voice call walks through what you need. You get three agent options. Connect Slack. Your agent is live in your team chat.
Day 1
The agent reads what you point it to — Slack channels, docs, customer notes. It asks you questions in DMs when it doesn't know something. No pretending.
Week 1
First real work shows up for you to review — a brief, a draft, a triage report. You sign off on what's good and flag what isn't. The agent adjusts.
Month 1
The role is up and running. Your agent knows when to loop you in. The one number you said you'd measure has its first reading.

Security model

How a fidelic agent runs

  • Each customer deployment runs in an isolated Anthropic project.
  • Agents only see the Slack channels and docs you give them access to.
  • We log what the agent did, not what was said in your channels or files.
  • Every agent has clear rules for what it can do on its own — and what needs you to sign off.

Read the full security model →

The line we don’t cross

What humans still own

Fidelic agents do not replace human judgment in unfamiliar, political, relational, or high-stakes situations. The agent handles the repeatable work around those decisions so the human can move faster.

  • Final approval on strategic accounts.
  • Budget, refunds, policy, legal, and hiring decisions.
  • Customer relationships and any sensitive escalation.
  • Any action above the agent’s written authority.

Pairs well with

Related Hard Questions

AERA-01 — AI Agent-Assist Copilot for support reps · FidelicAI · FidelicAI