DealSkope

DealSkope is the CRM and proposal engine I built for BITSUMMIT. It manages companies, contacts, and deals through a visual pipeline, surfaces insights from emails and past engagements, and generates professional proposals using a pipeline of seven AI agents.

I did not plan to build a CRM. I tried everything else first.

The grind

Consulting runs on relationships. You need to know who you are talking to, what you have done for them before, and what they need next. A CRM can track that. What it cannot do is pull context from your last three proposals to that client, surface the email thread where they described what they actually need, and use all of that to write the next proposal for you.

That is the gap. The relationship data lives in one tool. The proposal history lives in another. The email context lives in a third. And the actual proposal writing happens in a blank Word document where you start from scratch every time, manually stitching together what you remember.

I was spending 10 to 15 hours per proposal - not because the writing was hard, but because gathering the context was. Pulling together past work, remembering what we delivered, tailoring the approach, building pricing. The knowledge existed. It was just scattered across too many places to use efficiently.

Everything I tried

I tried Salesforce. Too heavy, too expensive, and built for organizations with a dedicated sales ops team I did not have. HubSpot was better but still designed around a sales motion that does not fit consulting. Neither could surface insights from past engagements or help write proposals.

I tried lighter CRMs. They tracked deals but had no intelligence layer - no way to connect a contact to their email history, past proposals, or call notes in one view. I tried template libraries for proposals. They helped with formatting but not with the actual thinking - understanding requirements, tailoring the approach, referencing relevant past work.

I tried outsourcing proposal writing. The quality was never right. External writers did not understand our capabilities or what makes a technical proposal credible versus generic.

Every tool solved one piece. No single tool connected the CRM to client intelligence. After two years of stitching together disconnected tools, I gave up looking for a product and built what I actually needed.

Building it myself

DealSkope started with the CRM. Companies, contacts, deals, and a pipeline board. I needed to see relationships and deals in one place - ownership, notes, call logs, linked documents, and deal stages all visible at a glance. Every team member could see who owned what. And where each deal stood.

Then I added the insights layer. DealSkope pulls context from email history, past proposals, call transcripts, and contract records. When you open a contact or deal, you see the full picture - every interaction, every document, every note - without switching between five different tools.

I connected the CRM to proposal generation. When you start a proposal, the system already knows the client from the CRM, has context from past engagements, and understands what you have delivered before. The agents do not write in a vacuum - they write with the full picture.

The architecture

The platform pulls context from multiple sources - past proposals, email history, CRM records, and call intelligence. That context feeds into the CRM layer where companies, contacts, deals, and pipeline stages are all connected. When you start a proposal, the system already has the relationship history.

The insights layer enriches every record automatically. Open a company and you see linked deals, associated contacts, recent communications, and past deliverables. Open a contact and you see their role, interaction history, and which deals they are connected to. Nothing requires manual data entry beyond the initial record.

When a deal moves to proposal stage, a single click triggers the generation chain. The AI processing runs asynchronously so the dashboard stays responsive and updates in real time as each agent completes its section.

The agents

The proposal engine is a pipeline of seven Claude agents I designed. Each one is specialized for a section of the proposal. They run sequentially, each building on the output of the one before.

The Research Agent starts by gathering context - past proposals, relevant emails, CRM records, and client history. It produces a structured brief that every subsequent agent consumes.

The Analyst maps requirements, identifies gaps, and flags risk areas. The Architect writes the solution design and technical approach. The Project Manager structures the timeline, milestones, and team allocation.

The Pricing Agent builds deliverable-based pricing with validated rate cards. The Risk Protection Agent produces the risk matrix with mitigations. The Executive Summary Agent synthesizes everything into a compelling narrative that opens the document.

Each agent validates its own output before saving. If something does not meet the quality gate, it retries with self-correction. The result is a professionally formatted proposal with cover pages, diagrams, and pricing tables - ready for review rather than assembly.

What changed

Before DealSkope, my deal pipeline lived in spreadsheets, my contact history lived in email, and every proposal started from scratch. Relationship context was scattered across tools and people's memories.

Now every relationship and deal lives in one place. The insights layer surfaces context automatically. Proposals start with a click instead of a blank page. The team focuses on strategy, relationships, and review instead of document assembly.

The quality improved. When an agent pulls from actual past engagements and client communications, the proposals read like they were written by someone who knows our work. Because in a way, they were.

DealSkope is not a product I sell. It is the infrastructure behind how BITSUMMIT manages relationships and wins work. I built it because nothing else connected the dots between knowing your clients, understanding their history, and writing proposals that land.