PitchOS — AI Pre-Sales Intelligence Platform

PitchOS is an AI pre-sales intelligence platform designed to help sales, solutions and founder-led teams turn messy discovery inputs into structured deal strategy.

The product focuses on the work that happens before a proposal is written: understanding the buyer, extracting pain points, mapping objections, shaping positioning, and preparing stronger proposal inputs.

I built PitchOS as a productised example of how AI can support real business workflows without becoming a generic chatbot.

Enterprise pre-sales is still heavily manual.

Teams often work across scattered discovery notes, call summaries, CRM context, RFP details, previous proposals and internal knowledge. The information is valuable, but it is rarely structured in a way that helps the team move quickly.

That creates problems:

discovery notes are hard to reuse

proposal writing starts from a blank page

objections are missed or handled too late

sales narratives are inconsistent

valuable deal context gets lost between calls, documents and handoffs

PitchOS turns raw pre-sales inputs into structured sales intelligence.

Instead of asking users to "chat with AI", the workflow is designed around specific pre-sales jobs:

extract customer pain points

identify decision drivers

map likely objections

summarise buyer context

generate proposal angles

prepare follow-up guidance

structure discovery into reusable deal intelligence

The goal is not to replace the sales or solutions team. The goal is to give them a clearer starting point and reduce the manual work between discovery and proposal.

I led the product direction, positioning, UX thinking and AI workflow design.

My work included:

defining the product concept

shaping the pre-sales workflow

designing the discovery-to-output structure

creating the product positioning

building launch and product assets

mapping AI outputs around practical sales tasks

preparing the product for use as part of the IL Signal Studio portfolio

The main design decision was to avoid making PitchOS feel like a general AI assistant.

Pre-sales teams do not need another blank chat box. They need a system that understands the shape of their work.

So the product is structured around repeatable pre-sales outputs:

pain patterns

objection maps

ICP notes

proposal angles

follow-up prompts

deal preparation summaries

This makes the AI more useful because it is working inside a defined workflow.

PitchOS became a clear example of the type of AI systems I build:

focused, workflow-driven products that help operators move faster without losing context.

It also strengthened the IL Signal Studio product ecosystem alongside Signal Hooks and other automation tools.

AI product design

Pre-sales workflow automation

Product strategy

UX strategy

Prompt engineering

Claude / OpenAI workflow design

SaaS positioning

B2B sales process design

Frontend/product interface planning