Content par jayen

Sales operations

Reference build

Two agents that hand sales a qualified shortlist

A multi-agent system where a research agent gathers company intelligence and a separate qualification agent scores fit against an ICP — saving reps 85% of their research time.

85%less rep research time

Aik nazar mein

Muddat
17 hafte
Team ka hajm
1 fard
Muahide ki naueeyat
Nayi tameer
Project ki qism
AI aur automation
Shoba
B2B SaaS

Soorat-e-haal

Challenge kya tha

Reps spend more time researching accounts than talking to them, and a single agent asked to both gather and judge tends to rationalise whatever it found rather than score it honestly.

Hum ne kya kiya

Separate the gathering from the judging, so the qualification step reads evidence it did not choose.

Wo faisle jo aham the

  • Research and qualification are different agents

    One collects, one scores against the ideal customer profile. Splitting them stops the system from grading its own homework.

  • Scores carry their evidence

    Every fit score links the signals behind it, so a rep can disagree with the reasoning rather than just the number.

Kya badla

reduction in rep research time
85%reduction in rep research time
specialised agents
2specialised agents
  • 2 — research and qualification, separated deliberately

Reps get a scored, evidenced shortlist instead of a research task, cutting time spent on account research by 85%.

Istemal shuda khidmaat

  • Research agent with source-attributed company intelligence
  • Qualification agent scoring against a configurable ICP
  • Rep-facing shortlist with evidence links

Hum kya mukhtalif karte

Har mansoobe mein aisi aik baat hoti hai. Ise shaya karna hi asal nukta hai — jis case study mein koi pachhtawa na ho wo saboot nahi, tashheer hai.

Multi-agent was justified here specifically because the two jobs have different failure modes. It is worth resisting everywhere the split does not buy that.

Istemal shuda khidmaat

Mazeed kaam

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