AI-Powered Pre-Sales Pipeline
Compress proposals and requirement analysis from days to minutes — AI that drafts, scopes, and qualifies, with a human approving every send.
The problem
Pre-sales is where deals stall. Senior people burn hours writing bespoke proposals, chasing requirements, and manually qualifying leads — so response times slip and the best people are pulled off higher-value work.
What it includes
The capabilities we build into this solution — engineered for production, not a demo.
Proposal generation
Draft tailored proposals from a call transcript or brief, grounded in your templates and past wins.
Requirement extraction
Turn messy discovery notes into a structured scope and requirement list.
Lead qualification
Score and route inbound leads against your ICP so reps focus on the ones that convert.
CRM integration
Reads and writes to your CRM — no copy-paste, full activity trail.
Human approval gate
Nothing goes out unreviewed; the AI drafts, a person approves.
Continuous tuning
Learns from what actually closes to sharpen future drafts and scores.
How we'd build it
The same method behind everything we ship: de-risked, measured, and in production in one quarter.
Feasibility
We validate the use case on your real data, define the accuracy bar and ROI, and give you an honest go/no-go — usually in weeks.
Build & evaluate
We engineer the system and score it against a labelled set until it clears the bar — quality is a measured number, not a promise.
Deploy
We ship to production, integrated with your systems and behind the right human-approval gates, with monitoring from day one.
Operate & improve
We watch it in production, handle drift, and expand scope as trust builds — feasibility in 6 weeks, production in ~90 days.
What you get
- A pre-sales assistant integrated with your CRM
- Proposal drafts and structured scopes in minutes, not days
- Consistent lead scoring against your ICP
- A human-in-the-loop approval step and full audit trail
Production AI we've shipped
We'd build your solution with the same discipline behind these real, in-production engagements — described by sector under NDA.
A production document classifier — 5,000+ documents/month, built to a ≥95% accuracy target and live in 8 weeks.
Read the case studyBank-statement automation across 21 banks with a measured 0.24% transaction-direction error rate.
Read the case studyAI-at-POS recommendations running against live in-store transactions across every location.
Read the case studyWant to scope AI-Powered Pre-Sales Pipeline?
Tell us the use case. We'll come back with a feasibility view and an honest go/no-go — a working prototype in about six weeks.
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Location
Barcelona, Spain • Lisbon, Portugal • Sheridan, WY, USA (incorporation)
Why Choose CONE RED?
- AI R&D lab & venture builder — production systems, not slideware
- Feasibility in 6 weeks, production in ~90 days
- Accuracy measured and evaluated — never invented or guaranteed
- Real engagements across financial services, healthcare & retail
- End-to-end support from strategy to deployment
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