AI that clears the queue your agents shouldn't touch
Custom AI built into your helpdesk to deflect repeat questions, triage what's left, and draft grounded replies — so agents spend their day on the hard tickets.
How it works
Most support queues are 60% questions your team has already answered a thousand times and 40% work that genuinely needs a person. The problem is that both arrive in the same inbox, in the same order, with no signal about which is which. We build AI into the helpdesk you already run — Zendesk, Freshdesk, Intercom, Salesforce Service Cloud, or your own — so the repeat questions resolve themselves against your real documentation, the rest arrives pre-triaged with a summary and a suggested reply, and every conversation gets scored for quality instead of the 2% your QA lead has time to read.
Triage that happens before anyone reads the ticket
Every inbound message is classified, prioritized, and routed on arrival, with the context an agent needs already attached.
- Intent, product area, sentiment and urgency tagged in under two seconds
- Account history, order status and past tickets pulled in automatically
- Angry, at-risk and contractual-obligation tickets jumped to the front
- Language detection with routing to the right regional queue
Answers grounded in your documentation, not the model's memory
Replies are generated only from your help center, policy docs, and past resolved tickets — with the source cited every time.
- Retrieval over your knowledge base, macros and closed-ticket history
- Every answer links the article or ticket it came from
- Trained to say 'I don't have that' and escalate rather than invent
- Content gaps surfaced weekly so your docs team knows what to write
QA on 100% of conversations, not a hand-picked sample
Every closed conversation is scored against your own rubric, so coaching is based on the whole picture instead of five tickets a month.
- Your scorecard, your weightings — tone, accuracy, policy, resolution
- Automatic flags for missed refund policy or unapproved commitments
- Per-agent trends that show whether coaching actually landed
- Compliance-sensitive phrases caught and reviewed the same day
Where teams use it
Built for real revenue work.
Tier-1 deflection on a help center nobody reads
Password resets, shipping status, plan changes and invoice copies get resolved in the channel the customer is already in. The build includes the deflection reporting so you can prove which article is doing the work.
Agent assist for a team that keeps churning
New hires get a drafted reply with the right policy already quoted, which cuts ramp time from weeks to days. The agent still edits and sends — the AI never speaks for them on complex accounts.
Post-call and post-chat wrap-up
Summaries, disposition codes, follow-up tasks and CSAT triggers are written automatically at the end of every conversation, removing the two minutes of after-call work that quietly costs a 40-seat team an FTE.
“We tried a vendor bot first and pulled it in six weeks because it confidently made up a returns policy we don't have. The build APPIT delivered only answers from our own help center, and when it isn't sure it hands the customer to a human with a summary already attached.”
FAQ
Questions, answered.
How is this different from the Leadify Service CRM?
The Leadify Service CRM is our product — you subscribe to it and get AI ticketing, routing and analytics out of the box. This is custom engineering for teams who are staying on the helpdesk they already have, or who need something no product ships: a deflection agent that reads your legacy order system, QA scored against a rubric your compliance team wrote, or routing logic tied to contract SLAs. If you want the platform, start with the Service CRM. If you want AI shaped around your existing stack, this is the right page.
Where do you insist a human stays in the loop?
Anything involving money moving, contract or legal commitments, account cancellation, safety, or a customer who has already escalated once. We configure those as hard stops — the AI drafts and summarizes, but a person approves and sends. We also cap consecutive AI turns so a frustrated customer can't get stuck in a loop; after two failed attempts the conversation goes to a queue with full context.
Will it hallucinate policies we don't have?
That risk comes from letting a model answer from its own training data. We ground every response in your retrieved content and reject generation when retrieval confidence is low, so the fallback is an escalation rather than a guess. Each answer carries its source, and we ship an evaluation set built from your real historical tickets so you can measure accuracy before it ever touches a customer.
What does a project cost and how long does it take?
Most customer service builds land in the 6-12 week range and are quoted as a fixed project cost after a paid scoping week — no hourly billing and no surprise change orders. A single deflection or triage workflow can go live in 4-6 weeks. You own the code and the models' configuration outright, hosted in your cloud or ours, with SOC 2 controls and a 99.9% uptime commitment.
Stop staffing for the tickets AI should be closing
Send us a month of ticket data and we'll show you exactly which volume is deflectable, with a fixed price and a delivery date.