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High DemandB2Bmid-market SaaS and e-commerce companies implementing AI support agents

AI Support Agents That Actually Resolve Tickets

Intercom Fin users who optimize properly hit 50-70% resolution rates. Users who set-and-forget sit at 15-25%. We're the difference — setup, tuning, and ongoing knowledge base optimization so your AI agent actually pays for itself.

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Founder-led delivery
Transparent pricing
70%
resolution rate Sharesies achieved with Fin in 12 weeks with proper optimization
Intercom case studies via Faye Digital
86%
peak resolution rate reported for properly-tuned Intercom Fin deployments
SaaStr
$30 vs $5
typical cost per ticket: human resolution vs. AI resolution (including platform fees)
Swifteq via Nouran Smogluk, Hospitable
The Problem

Does this sound familiar?

You bought Intercom Fin, Zendesk AI Agents, or a similar platform expecting 50%+ ticket deflection. Six months later, it's resolving 15-20% and pissing off the rest. The problem isn't the AI — Anthropic's own support team hit 50.8% resolution using Fin in 30 days, and companies like Sharesies hit 70% in 12 weeks. The problem is that the platforms sell you the engine and leave you to figure out the tuning. Every unresolved conversation is a missed knowledge gap, and most teams never go back to fix them.

Stuck at 15-25% resolution while others hit 70%

The gap between top and bottom performers is almost entirely knowledge base quality and ongoing optimization. AI doesn't get better on its own — someone has to fix the gaps every week.

You're paying per resolution AND leaking tickets to humans

Fin charges $0.99 per resolution. Zendesk's advanced tier is pricey too. You're paying the platform AND paying agents for the 75% of tickets the AI should have handled.

Ongoing tuning is a full-time job nobody owns

Intercom advertises 'setup in minutes.' The reality is 4-8 weeks of knowledge base restructuring plus weekly optimization cycles forever. Most CX leaders can't afford to assign someone to this.

Anthropic chose Intercom's Fin AI Agent. Within just over a month, Fin achieved a 50.8% resolution rate, participated in 96% of conversations, and saved the support team more than 1,700 hours.

Emily Lampert, Head of Product Support, Anthropic, via Faye Digital
The Solution

AI Customer Support Agent Setup Service

A done-for-you AI agent implementation and ongoing optimization service. We handle the initial setup (knowledge base restructuring, procedure design, integration with your data sources), then manage weekly tuning cycles to close gaps, add new procedures, and push your resolution rate from launch baseline to industry-leading 60-70% within 90 days.

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  • Historical ticket analysis

    We analyze your last 500-1000 tickets to identify the top 30 issue types. Then we build the knowledge base and procedures specifically for those — not generic FAQ content.

  • Knowledge base restructuring for AI-readability

    Most KBs are written for humans skimming. AI needs different structure: atomic articles, clear H2/H3 hierarchy, explicit 'if-then' logic. We rewrite your KB for how AI actually parses it.

  • Procedures and workflow setup

    Fin Procedures and Zendesk AI workflows are what turn an FAQ bot into an action-taking agent. We build 10-20 procedures for your top issue types: refunds, cancellations, order status, account changes.

  • Data source integration

    Shopify order data, Stripe subscription data, your internal APIs — we connect them all so the AI can answer 'where's my order' with real-time data, not generic copy.

  • Weekly optimization cycles

    Every week: review unresolved conversations, identify knowledge gaps, update KB, add procedures, test. This is the difference between 20% resolution and 70%.

  • Monthly performance reports

    Resolution rate, deflection rate, CSAT, cost per resolution, topics trending up/down. You see the math on whether the AI is paying for itself — because most of the time, nobody tracks it.

Our Process

How it works

1

Free AI Agent Audit

We analyze your current resolution rate, review your top 100 unresolved conversations, identify the top 5 issue types causing the most handoffs. Delivered as a scored report within 5 business days.

2

Implementation Sprint (Weeks 1-4)

Historical ticket analysis, knowledge base restructuring, procedure design, data integrations. We aim to hit 40%+ resolution by end of week 4.

3

Tuning Phase (Weeks 5-12)

Weekly optimization cycles. Each week closes another batch of knowledge gaps. Target: 60%+ resolution by week 12. This is where most DIY implementations plateau — we don't.

4

Handoff or Ongoing Management

At month 3, you choose: take it in-house with our full playbook and training, or keep us on an ongoing retainer to run weekly optimization perpetually.

5

Monthly Performance Reviews

Every month: resolution rate trends, new issue types, cost-per-resolution math, CSAT impact. Clear data on whether your AI investment is paying off.

Transparent Pricing

Simple, clear pricing

We guarantee your resolution rate will double within 90 days of engagement, or the following month is free until we hit it. Every engagement starts with an honest assessment — if your ticket volume doesn't justify AI investment, we'll tell you.

Implementation Only

$4,500

  • Historical ticket analysis
  • KB restructuring (up to 100 articles)
  • 5-10 procedures configured
  • Data source integrations
  • 4-week implementation sprint
  • Handoff documentation
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Most Popular

Managed AI Support

$1,500/mo

  • After implementation sprint
  • Weekly optimization cycles
  • Ongoing procedure tuning
  • KB gap analysis and updates
  • Monthly performance reports
  • Slack access for edge cases
  • Month-to-month, cancel anytime
Most Popular

Enterprise

Custom

  • Multi-product support coverage
  • Multi-language optimization
  • Dedicated strategist
  • Custom integrations
  • SLA on resolution targets
  • White-label reporting
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Zero Risk. Zero Pressure.

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15 minutes. We'll diagnose exactly what's holding you back and tell you whether we can help — no pitch, no pressure.

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Frequently asked questions

Which platforms do you support?
Intercom Fin (deepest expertise), Zendesk AI Agents, Salesforce Einstein Service, Freshdesk AI, and Ada. We can also work with custom implementations on platforms like HubSpot Service Hub. For emerging AI-native platforms (Decagon, eesel, My AskAI), we have working knowledge but less deep optimization experience.
What resolution rate is realistic for my business?
Depends on your industry and ticket mix. Repetitive transactional queries (e-commerce order status, password resets, subscription changes) can hit 70-90%. Complex technical support queries typically max at 40-60%. Regulated industries (healthcare, finance) often need more human escalation. The audit gives you a realistic target.
How is this different from hiring an in-house CX ops person?
An in-house ops person costs $90K-$130K/year fully loaded, takes 3-6 months to ramp, and typically doesn't have cross-platform AI optimization experience. We bring expertise from 20+ implementations on day one. After 3-6 months with us, you can transition to an in-house hire — we hand over our playbook.
Can you work with our existing Intercom/Zendesk setup, or do you need to start from scratch?
We work with existing setups. In fact, the audit often reveals that your current config is 80% right and just needs targeted fixes. We don't do unnecessary rebuilds — we work with what's there.
What if we have sensitive data concerns (healthcare, finance)?
We sign BAAs (healthcare) and typical enterprise NDAs. We work with your data only via the existing AI platform's data access (we don't export or hold customer data). For HIPAA-regulated environments, we have additional protocols and typically scope 20-30% higher for compliance review overhead.
What does a typical engagement ROI look like?
Using Intercom's own data: a 10% increase in resolution rate at a company handling 10,000 monthly tickets = 1,000 fewer human-handled tickets. At ~$30/ticket human cost vs ~$5 AI-resolution cost, that's $25,000/month in savings. Our $1,500/mo managed retainer pays for itself in the first week on most implementations.
Do you work with smaller companies, or only enterprise?
Minimum engagement makes sense at ~500 monthly support tickets. Below that, AI implementation isn't cost-justified and you're better served by optimizing your self-service content directly. Happy to tell you honestly during the audit.
What metrics do you optimize for?
Resolution rate is the north star. But we also watch CSAT on AI-resolved tickets (critical — a 70% resolution rate with 3-star CSAT is worse than 50% with 4.5 stars), cost per resolution, time-to-first-response, and escalation patterns. Full optimization is multi-variable, not just 'resolve more.'

Free Resource

Free AI Agent Performance Audit

Share view-only access to your Intercom Fin, Zendesk AI, or similar platform. Within 5 business days we send back a scored report: current resolution rate, top 5 issue types causing handoffs, realistic target rate for your business, and the specific changes that'll move the needle fastest. Zero obligation.

Get it free

You're Already Paying for AI. Make It Actually Work.

Every ticket your AI agent hands off unnecessarily is money burned on platform fees plus agent time. The math on fixing it is overwhelming. Audit is free and takes 5 days.

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