RELYTASK

AI Agents & Chatbots

Answer, qualify and route — with an honest handover when the bot is out of its depth.

AI support works well within a bounded domain and badly outside one. The teams getting value from it are precise about which questions the agent handles, ruthless about handing over early, and honest in their reporting about resolution rather than deflection. The ones getting complaints deployed a general chatbot and hoped.

The problem

What this normally looks like before we start.

01

Enquiries arrive out of hours and go cold

The window in which interest converts is short. A form submitted at 10pm and answered at 11am the next day has already lost most of its value.

21x

more likely to qualify a lead when the first response arrives within five minutessource ↗

02

The same twenty questions consume the team

Pricing, availability, delivery timelines, order status. Answered dozens of times a day by people who should be doing something harder.

03

Bots that deflect rather than resolve

A deflected ticket is not a solved problem — it is often a frustrated customer who gave up. Deflection rates vary enormously by question type, and a single headline number hides that.

15–30%

deflection for complex technical troubleshooting, against 70%+ for simple account queriessource ↗

What we do

The actual work.

01

Scope the agent narrowly

We start from your actual enquiry log and define exactly which intents the agent owns. Everything else routes to a human immediately, by design.

02

Ground it in your own content

Retrieval over your documented answers, pricing and policies, so responses are traceable to a source rather than generated from thin air.

03

Qualify and route, don't just answer

The agent's most valuable job is often collecting the right four facts and putting the enquiry in front of the right person with context attached.

04

Design the handover carefully

Clear escalation triggers, full transcript passed across, and no loop that traps someone asking for a human. This is what separates a useful agent from a complaint generator.

05

Review the transcripts weekly

Real conversations are the only reliable source of what to fix. We read them, tune the scope, and report what the agent got wrong.

What you get

Deliverables.

  • Intent analysis from your real enquiry history
  • Scoped agent with explicitly defined boundaries
  • Retrieval grounded in your documentation and pricing
  • Lead qualification and data capture flows
  • Escalation rules with full-context human handover
  • Deployment on website, WhatsApp or both
  • CRM integration so conversations land on the record
  • Weekly transcript review and tuning

What good looks like

Benchmarks.

Simple account queries
70%+ deflection
Billing and order status
50–70% deflection
Complex troubleshooting
15–30% deflection
Our reported metric
Resolution rate, with transcripts

How we’re different

Why this is worth handing to us.

We report resolution, not deflection

Deflection counts conversations that ended. Resolution counts problems that were solved. We measure the second, including when the number is unflattering.

The escape hatch is always visible

Every conversation offers a human, at every step. Trapping people in a bot loop does more brand damage than the cost it saves.

Scoped narrowly on purpose

A confident wrong answer about pricing or delivery is worse than no answer. We would rather hand over early and often.

Questions we get

Straight answers.

Will it say something wrong about our pricing?+

Not if it is scoped and grounded properly — answers come from your documented content, and anything outside that scope escalates rather than improvises. We test adversarially before launch and read transcripts weekly after.

Can it work on WhatsApp?+

Yes, and in India that is usually where it earns most. It runs on the official Business API, inside the free service window, with the same escalation rules as the website agent.

Will this replace our support team?+

It removes the repetitive tier-one volume so the team can handle the harder cases properly. Teams that deploy an agent expecting to cut headcount usually end up with worse support and a worse reputation.

Where the numbers come from

Figures are industry benchmarks published by third parties, cited so you can check them. They describe the market, not a promise about your results.

Start with the twenty questions you answer daily.

Send us your enquiry log. We'll show you what an agent could safely own and what it should never touch.

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