AI Qualification

Valent’s AI Qualification helps you focus on the right opportunities by automatically analyzing RFPs and providing data-driven go/no-go recommendations.

How It Works

When you upload an RFP, Valent’s AI engine analyzes multiple factors:

Fit Score

How well does this opportunity match your capabilities?

Service/product alignment
Industry expertise
Geographic coverage
Technical requirements

Complexity Assessment

What level of effort will this require?

Scope of work
Number of requirements
Technical depth
Resource demands

Timeline Analysis

Is this timeline realistic?

Submission deadline
Implementation schedule
Key milestones
Buffer for review cycles

Historical Comparison

How does this compare to past opportunities?

Similarity to previous wins
Patterns from losses
Success rate for similar RFPs

Qualification Output

After analysis, Valent provides:

Qualification Summary

A clear recommendation with supporting data:

High potential match. Similar to prior wins in healthcare sector with 80% success rate. Timeline is aggressive but achievable with current team capacity.

Confidence Score

A numerical rating (0-100) indicating match strength.

Key Factors

Breakdown of what’s driving the score:

Strengths to leverage
Risks to consider
Gaps to address

Go/No-Go Recommendation

Clear guidance based on the analysis:

Go — Strong fit, recommend pursuing
Conditional — Potential fit with caveats
No-Go — Poor fit, recommend passing

Collaborator Input

Decision Record

Each RFP includes a Decision Record capturing:

Team member inputs
Rationale for go/no-go
Timestamps for compliance traceability

Team Discussion

Add comments and perspectives
@mention stakeholders for input
Document concerns and mitigations

Using Qualification Effectively

Trust But Verify

AI qualification is a starting point. Always apply human judgment:

Consider strategic factors
Account for relationship history
Weigh capacity constraints

Feed the System

The more data Valent has, the better it qualifies:

Record outcomes (won/lost)
Note why opportunities succeeded or failed
Update historical records

Set Thresholds

Establish qualification criteria for your organization:

Minimum fit score
Maximum complexity level
Required timeline buffer

Tips

Run qualification as soon as you receive an RFP
Use the Decision Record for audit trails
Compare AI recommendations to your instincts — the delta is informative
Review qualification accuracy over time and adjust expectations