Services / build / automation
AI Customer Support Agent
Triages every ticket, drafts every reply, escalates the hard ones.A support agent wired into Intercom, Zendesk, Help Scout, or Freshdesk. It tags incoming tickets, drafts a first response grounded in your help center + past resolutions, escalates anything outside its confidence band, and learns from every reply your team sends. Cuts first-response time by 60–80% without firing your support team.
price
from $2,200
timeline
3 weeks
cadence
one-time
scope
One-time / fixed scope
Where this fits in the services matrix.
Every service page now names the buyer state, the commercial shape, and the next route. That keeps the catalog navigable instead of feeling like disconnected offers.
Build automation with a fixed scope and written handoff.
from $2,200 · 3 weeks · One-time / fixed scope
Use the diagnostic or book a call to confirm fit before scope is written.
Not sure this is the right service? Run the route finder and get the matching path.
The offer is a route, not a loose task list.
This diagram gives every service page a concrete operating model: intake, system design, implementation, proof, and handoff.
service operating path
Surface ⇄ System
AI Support Agent flow
The diagram is intentionally simplified: it shows the buying logic and operating path, not a decorative fantasy architecture.
price
from $2,200
timeline
3 weeks
cadence
one-time
The outcome, not just the output.
- 01Auto-triage and tagging on every inbound ticket
- 02Draft replies for human review (or auto-send for low-risk categories)
- 03Confidence scoring with escalation when low
- 04Knowledge base coverage report (gaps surfaced weekly)
- 05CSAT-stable or better in production
Concrete artifacts you keep — and what we leave out.
Working code, written docs, dashboards your team owns. We also list what this engagement deliberately does not cover, so scope is honest before you click.
- Ticket classifier (category + priority + sentiment)
- Draft generator grounded in your help center + past resolved tickets
- Confidence-based routing: auto-send / suggest / escalate
- Escalation rules (refunds, churn risk, legal, anything custom)
- Help-center gap detector (flags topics with no good source)
- Slack/email notification for escalations
- 30 days of post-launch tuning
- Manual ticket cleanup of historical backlog
- Translation of help docs (English-only by default)
- Phone support (use AI Voice Agent)
How the engagement actually runs.
- 1Week 1
Ingest + classify
Connect support tool, pull last 6 months of resolved tickets, train classifier.
Classifier modelTag taxonomyTraining data report - 2Week 2
Draft + escalate
Build draft generator with help-center grounding. Configure escalation rules. Stand up shadow mode (drafts only).
Draft generatorEscalation configShadow-mode results - 3Week 3
Go-live + tune
Flip on draft-and-suggest. Monitor first 100 tickets together. Tune confidence thresholds.
Production deployTuning reportRunbook
Receipts, not promises.
- 60–80%
- First-response time cut
- typical
- 90%+
- Tag accuracy
- after tuning
- Stable
- CSAT impact
- or improved
Common questions.
01Will it auto-send replies?
02What if our help docs are bad?
03Will it handle refunds?
Ready to start AI Support Agent?
A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.
automation system
From offer to operating system.
AI Customer Support Agent is presented as a real engagement, not a generic service page: the surface, backend shape, delivery artifacts, and conversion path are all visible before the first call.
Scope AI Support Agentprice
from $2,200
timeline
3 weeks
tier
B
Living architecture
Scope ⇄ Ship
The page now exposes how the engagement moves from buyer pain to production artifact, then into measurement and next-step routing.
Scope AI Support Agent- 01Ingest + classifyConnect support tool, pull last 6 months of resolved tickets, train classifier.
- 02Draft + escalateBuild draft generator with help-center grounding. Configure escalation rules. Stand up shadow mode (drafts only).
- 03Go-live + tuneFlip on draft-and-suggest. Monitor first 100 tickets together. Tune confidence thresholds.
Conversion path
Surface ⇄ System
01
Diagnose
Confirm the real automation constraint, current surface, and business goal before writing code.
02
Design the system
Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.
03
Ship the artifact
Deliver AI Support Agent as working code, docs, dashboards, or launch assets your team can actually use.
04
Route the next move
Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.
Proof assets
Real only
Asset slot
Service proof visual
Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.
Verified asset
Founder/operator photo
Real founder photo reinforcing principal-led delivery.
Asset slot
Client quote or logo
Add only permissioned testimonials or logos tied to this service category.