AI Deal Intelligence

Deals that should take hours are taking weeks?

CleariGo reviews every deal across pricing, terms, and risk — and tells you exactly what to fix, why, and how.

Detect hidden margin leakage before approval

Identify policy violations with evidence

Recommend precise actions — not generic AI output

Get Your Deal Reviewed →

🔒 No credit card. No sales call required.

Deal Review — Acme Corp 3 Critical Issues

Deal Summary

VALUE

$2.5M

DISCOUNT

42%

TERMS

NET 60

Highlighted Issues

Discount 42% exceeds corridor (max 30%) → Margin drop: 8%

NET 60 violates policy → Requires 30% upfront

Margin below threshold — CFO escalation required

Recommendation

Reduce discount to 30% or add 30% upfront. Escalate to CFO if unchanged. Similar deals approved at 28–32%.

Deal Risk

HIGH · 58/100

The Problem

This is what your deal process looks like today

Five failure modes that silently kill revenue before a deal ever reaches signature.

⏱

Deals that should take hours take weeks

Endless back-and-forth across teams with no single source of truth

📉

Margin leakage discovered after approval

No visibility into pricing erosion before it's too late to act

🧠

Decisions depend on a few "experts"

Tribal knowledge, not scalable systems. One departure breaks everything

💬

Slack threads. Emails. Spreadsheets.

No single source of truth, no audit trail, no accountability

🔁

Every deal reinvented from scratch

No learning from past decisions. Same mistakes quarter after quarter

The AI Gap

Why current AI tools don't solve this

Generic AI knows language. CleariGo knows your playbook, your policies, and your deal history — and applies them every time.

Generic AI Output

"Reduce discount" — no threshold, no evidence, no context

"Improve terms" — no policy, no playbook applied

"Check risk" — no historical comparison at all

Vague. Non-actionable. Adds more work, not less.

CleariGo Output

✓

"Discount 42% exceeds corridor (max 30%) → Margin drop: 8%"

✓

"NET 60 violates policy → Requires 30% upfront"

✓

"Similar deals approved at 28–32%"

Precise. Context-aware. Actionable — immediately.

Live Preview

See how CleariGo reviews a deal

Every risk surfaced. Every action prioritized. Every decision evidence-backed. This is what your deal desk sees.

clearigo.ai/review/deal-72941-acme-corp

Deal Input

ACCOUNT

Acme Corporation

DEAL VALUE

$2,500,000

DISCOUNT

42%

PAYMENT TERMS

NET 60

PRODUCTS

ENT-PLATFORM-CORE

SUPPORT-PREMIER-24X7

IMPL-SERVICES-3MO

GROSS MARGIN

14.2%

Findings (3)

Discount 42% exceeds corridor (max 30%) → Margin drop: 8%

NET 60 violates payment policy → Requires 30% upfront

Margin 14.2% below floor (18%) — CFO escalation required

RISK SCORE HIGH · 58/100

Recommendations

Reduce discount to 30% to comply with policy

Or add 30% upfront payment to offset risk

Escalate to CFO if terms remain unchanged

Path to close

Resubmit at $1.75M (30% discount) with Net-30. Expected approval: 24 hrs vs. 5+ days on current terms.

68%

Win probability
if revised by EOM

Evidence Sources

5 similar deals approved at 28–32%

Policy: Max discount = 30% (Enterprise)

Finance margin model Q4 2024

CFO approval matrix v2.3

Salesforce — Acme account history

Core Value

From analysis to decision — in one flow

Three capabilities that turn every deal into a clear, defensible decision.

🧠

AI Scan

Detects hidden issues before they reach approval. Every parameter checked in seconds, automatically.

"Pricing anomalies flagged"

"Policy violations with evidence"

"Risk signals across 40+ parameters"

💬

Deal Copilot

Ask questions in plain language. Get precise, policy-grounded answers — no analyst needed.

"Why is this discount flagged?"

"What if we change to Net-30?"

"Show me similar approved deals"

📦

Decision Packet

Clear, structured output ready for approval. Reasoning and evidence included — always.

"Approve / Rework / Reject — clearly"

"Full evidence trail attached"

"Routes to the right approver"

Integration

Works with your existing systems

No rip-and-replace. CleariGo plugs into the tools your team already uses and surfaces intelligence inside your workflow.

Connect

OAuth connect in minutes — no engineering lift, no workflow disruption.

Salesforce CPQ ERP Slack Email

Analyze

CleariGo ingests your policies, historical deals, and live CRM signals to build full context.

Policies Historical deals Risk signals

Recommend

Get findings, evidence, and specific next actions — with the right approver already identified.

Findings Evidence Actions

Why CleariGo Wins

Why CleariGo is different

Not a chat interface bolted onto deal data. A purpose-built intelligence layer for enterprise revenue teams.

	Generic AI	CleariGo ✦	Manual Review	Deal Desk Tools
Output	Generic	Precise	Expert-dependent	Structured, manual
Context	Limited	Full deal + policy	If rep knows it	Partial
Learning	None	Learns from past deals	None	None
Trust	Low — no citations	Evidence-backed always	Anecdotal	Template-based
Workflow	None	Drives approvals	Manual escalation	Partial
Review time	~20 minutes	Few seconds	2–4 hours	30–60 minutes

Founder Proof

Built by someone who understands enterprise deals

"I spent 25 years watching great deals die in approval queues — not because the numbers were wrong, but because no one had the full picture fast enough. CleariGo is the tool I needed and never had."

"We realized the real problem with AI wasn't lack of data or better prompts — it was cognitive overload. Teams were spending more time reviewing AI output than doing the work themselves. That's when we built CleariGo — to deliver decision-ready answers, backed by evidence, so humans can focus on the final call — not the rework."

"We observed that the true decision logic of enterprise deals isn't fully captured in CRM or ERP systems. It's split across validation rules, Slack conversations, policy documents, and the experience of deal experts. This fragmentation creates blind spots to CXO's and other approvers — leading to missed risks, inconsistent pricing, and margin loss. CleariGo brings this scattered intelligence together — so every decision is complete, consistent, and optimized."

Nitin Hase, Co-Founder & CEO

25+ years building pricing, deal management, and workflow systems