Pakistan

AI Sales Assistant Development

AI Sales Assistant Development - Ainexo

An AI sales assistant's job is triage, not closing

The AI sales assistants that actually help a sales team don't try to close deals autonomously - they handle the repetitive early-stage work (answering common questions, gathering qualification info like budget and timeline) so a human rep spends their time on qualified conversations instead of repeating the same answers to every inbound inquiry. We scope these projects around that triage role specifically, not an overreaching promise of full sales automation.

What we build

  • Product/pricing Q&A grounded in your actual sales materials and FAQ content, not a general-purpose model guessing at answers
  • Qualification logic - gathering budget, timeline and specific need information through natural conversation, structured for your CRM
  • Handoff triggers - clear rules for when a conversation needs a human (complex questions, high-value prospects, explicit request), with the full conversation transcript passed along
  • CRM integration so qualified leads and their gathered context land directly in your sales pipeline, not a separate system your reps have to check

Our process

1. Map your actual qualification questions

What your sales reps ask early in every conversation - this becomes the assistant's core logic, not a generic sales script.

2. Build on official LLM APIs

OpenAI or Gemini, with responses grounded in your real product/pricing information to avoid confidently wrong answers.

3. Define handoff rules clearly

Exactly when the assistant should stop and route to a human, tested against realistic edge cases before launch.

4. Integrate with your CRM

So qualified leads arrive with context, not just a name and email your reps have to re-qualify from scratch.

Pricing

Rs 150,000-500,000 depending on conversation complexity, CRM integration, and how much of your product catalog/pricing needs to be covered.

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Frequently asked questions

Will this replace our sales team?
No, and we wouldn't scope it that way - it handles early-stage triage (answering common questions, gathering qualification info) so your reps spend time on qualified conversations, not repeating the same answers all day.
How does it know when to hand off to a human?
Clear rules defined upfront - complex questions, high-value prospects, or explicit requests trigger handoff, with the full conversation transcript passed to the rep so nothing gets repeated.
Will it give wrong information about our pricing or product?
Responses are grounded in your actual sales materials and FAQ content rather than a general-purpose model guessing - this is specifically tested against your real product details before launch.
Does it connect to our CRM?
Yes - qualified leads and their gathered context (budget, timeline, need) land directly in your pipeline rather than a separate system your reps have to check manually.
What LLM does this use?
Official OpenAI or Gemini APIs - no unofficial wrappers with unpredictable reliability.
What does it cost?
Rs 150,000-500,000 depending on conversation complexity and CRM integration scope.
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