framer
AI Assistant

A copilot inside every conversation.

Give every agent a senior teammate. Framer reads the ticket, retrieves the answer, drafts the reply, and coaches in real time.

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Capabilities

Everything you need, nothing you don't.

Instant drafts
One‑click replies grounded in your knowledge, in your brand voice.
Thread summaries
Long email chains distilled into the four things that actually matter.
Next best action
Refund, escalate, upsell, close — the assistant recommends and executes.
104 languages
Native‑quality replies, translated both ways in the same thread.
Live retrieval
Every suggestion cited to a doc, ticket, or CRM record — no hallucinations.
Guardrails
PII redaction, policy enforcement, and human‑approval flows built in.
Interface

Meet your agents' new favorite tab.

A workspace with customer context, AI drafts, and one‑click actions — designed for agents that resolve, not triage.

app.framer-ai.app/agent
Inbox
All · 42
Unassigned · 12
Mine · 7
Urgent · 3
Snoozed · 5
Closed · 218
EM
Emma Reyes
Order #48291 · Gold · 3y
Any update on my refund? It's been almost a week.
Hi Emma — I just released your refund of $128.40. It'll land in 3–5 business days.
AI suggested next reply
Would you like me to expedite via store credit as a courtesy?
Customer
PlanGold
LTV$2,340
Tickets14
CSAT4.8
Sources
· Refund policy (EU)
· Order #48291 · Stripe
· Warehouse log · NL-01
Why teams love it

Outcomes, not outputs.

01
3× faster
Median handle time cut from 9m 40s to 3m 20s across 42 enterprise deployments.
02
40% CSAT lift
Empathetic, correct, on‑brand replies outperform macros by every measure.
03
Zero training
Agents learn the workspace in an afternoon. The AI learns your product on day one.
04
Full audit
Every draft, edit and send is logged, versioned and reviewable.
Inside the AI Assistant

How Framer turns a raw ticket into a send‑ready reply.

Every incoming message runs through a five‑stage reasoning loop. Nothing is scripted, nothing is hallucinated — every answer is grounded, cited, and reviewable.

  1. STEP 01
    Ingest the conversation

    The assistant pulls the full thread, attachments, CRM record, order history and prior tickets into a single reasoning context — normalized across email, chat, voice and social.

    • Unifies 20+ helpdesk sources
    • Attachment OCR + speech‑to‑text
    • PII masked before inference
  2. STEP 02
    Understand intent, sentiment, urgency

    A fine‑tuned classifier assigns intent, emotion and business priority, then routes to the right skill (billing, technical, WISMO, escalation).

    • Sub‑200ms classification
    • 104 languages, native quality
    • Customer lifetime value factored in
  3. STEP 03
    Retrieve grounded knowledge

    Vector + keyword search over your docs, macros, resolved tickets and product APIs surfaces the exact passages the model may cite — nothing else.

    • Hybrid semantic + BM25
    • Live API lookups (order, invoice, status)
    • Every fact returns with a source URL
  4. STEP 04
    Draft the reply in your voice

    The assistant composes a response in your brand tone with citations inline, one‑click actions attached, and next‑best‑action buttons ready for the agent.

    • Tone tuned per brand/channel
    • Refund, escalate, upsell in one click
    • Inline citations for every claim
  5. STEP 05
    Coach, review, and learn

    Guardrails run policy and compliance checks before send. Agent edits stream back as gold examples, continuously tightening tone and accuracy for your tenancy.

    • Policy + PII enforcement
    • Human approval on high‑risk actions
    • Every edit reinforces your private model
Workflow diagram
1Ingest2Understand3Retrieve4Draft5Coach
Avg. setup
3 weeks
SLA
99.99%
Regions
12
FAQ

Answers, before you ask.

Does the assistant work with our existing tools?+

Yes — deploy inside Zendesk, Intercom, Salesforce, HubSpot, Front, Freshdesk or use our standalone workspace.

How does it learn our tone?+

Framer trains on your past resolutions, style guides and top agents. Tone is tunable per brand, per channel, per segment.

Can agents override suggestions?+

Every draft is editable. Overrides feed back into the model as gold‑standard examples.

Is customer data used to train shared models?+

Never. Your data trains only your private tenancy. No shared model training. Ever.

Give your support team an unfair advantage.

Buy 50 credits. Deploy in a day. Measure lift in your first week.

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