← Services04 — ServiceAssistants that actually understand your business

AI Chatbots & Agents

We build AI assistants that resolve tickets, book calls, qualify leads, and operate inside your CRM. Grounded on your docs and your data, with proper escalation paths and an honest evaluation of what they can and can't do.

84%
Auto-resolved
for well-grounded support agents
0
Hallucination tolerance
with grounded retrieval
30s
Avg first response
vs. 4h human SLA
A — What we deliver

Concrete outputs — not vibes.

01

Grounded knowledge layer

Your docs, KB, product data — indexed, chunked and retrievable with citations.

02

Conversation design

Personality, scope, refusal patterns and escalation flows — explicit, not vibes.

03

Tool use

Agents that actually do things — book calls, create tickets, update CRM records.

04

Evaluation harness

Per-intent scoring so we know what's improving and what's regressing.

05

Frontend or embed

Website widget, in-app chat, Slack bot, WhatsApp — wherever your users are.

B — How we work

Five steps from brief to production.

01

Audit existing flow

What questions come in, who answers, what's the actual deflection opportunity.

02

Index & ground

Build the retrieval layer over your real content with citations.

03

Wire tools

Connect the actions the agent needs — calendar, CRM, tickets, billing.

04

Eval

Build a golden dataset and run continuous eval before and after every change.

05

Launch & tune

Live with monitoring, with weekly tuning until quality settles.

C — Stack

The tools we typically reach for.

These aren’t prescriptions — we adapt to what you already run. Worth knowing what we’re fluent in.

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D — FAQ

Questions we get about AI Chatbots & Agents

  • Grounded retrieval with citations, scoped tool calling, refusal patterns when confidence is low, and a continuous eval suite. We don't promise 0% — we promise a tested system with measurable accuracy.

  • Yes. Agents can book meetings, create CRM records, raise tickets, send emails — whatever you give them tools for, with audit logs on every action.

  • Modern frontier models handle 30+ languages well. We test against your real volume per language and add per-language eval if needed.

  • Explicit rules: low confidence, sensitive intent (refunds, legal, complaints), repeat-customer flag, or user request. Configurable per channel.

  • Wherever your users are — site widget, in-app chat, Slack, Teams, WhatsApp, Discord. Frontend is custom; the brain is shared.

Ready to scope it?

Send a brief — we reply in 4h.