Deterministic scoring
A ranked list tells you who's best. Paai tells you who to call first.
Every partner gets two scores against your goal: Impact, how well they fit, and Effort, how hard they are to activate. Same inputs, same answer, every time.
- Two scores, four buckets, one clear starting point
- Every placement explained, line by line
- No AI model guessing at the ranking
Impact
How well they fit
Solution and market overlap, and how focused the partner is on your solution areas
Effort
How hard to activate
Offering gap, partnership maturity, company size and ties to your competitors
Quick Wins
Most likely to bring your first deals
Strategic Growth
Will support your growth
Fulfilment
Resell and distribute
Future Bets
Ideal for scaling GTM
What goes into the score
Built to find partners you can actually activate.
Out of scope stays out
Partners that share none of your solution areas are never scored, so your list starts clean.
Specialists beat generalists
Partners focused on your solution areas and a few markets score higher than firms that do everything.
Competitor ties count
A partner already working with your competitors scores as harder to activate.
Your goal sets the math
Looking for new partners, or partners already inside your target accounts? Each goal scores differently.
Partner type matters
SIs and ISVs lean toward Quick Wins, VARs and OEMs toward Strategic Growth, MSPs toward Fulfilment, GSIs and distributors toward Future Bets.
Big consultancies go last
The largest consultancies sit at the bottom of their bucket, so firms you can act on show up first.
Why not just match an IPP
Ideal partner profiles and ranked lists answer the wrong question.
What it answers
- IPP match
- Who looks like my ideal partner
- Top-ranked list
- Who scores highest overall
- Paai scoring
- Who to work with first for this goal
Effort to activate
- IPP match
- Ignored
- Top-ranked list
- Blended into one number
- Paai scoring
- Scored on its own
Ties to your competitors
- IPP match
- Ignored
- Top-ranked list
- Ignored
- Paai scoring
- Raises effort
Specialists vs generalists
- IPP match
- Generalists win
- Top-ranked list
- Generalists win
- Paai scoring
- Specialists win
Changes with your goal
- IPP match
- No, one fixed profile
- Top-ranked list
- Rarely
- Paai scoring
- Yes
Explains itself
- IPP match
- Partly
- Top-ranked list
- Usually not
- Paai scoring
- Line-by-line breakdown
Same answer twice
- IPP match
- Yes
- Top-ranked list
- Not when AI ranks it
- Paai scoring
- Yes
Why deterministic
Same inputs, same score
Run it twice and get the same answer. No model guessing at the ranking.
See why, line by line
Every partner comes back with the points behind its placement.
Tied to your goal
Your goal sets the target accounts, filters and scoring mode.
FAQ
What does deterministic scoring mean?
The same inputs always produce the same score. Fixed rules do the scoring, not an AI model, so results are repeatable and explainable.
How are impact and effort defined?
Impact measures how well a partner fits: solution and market overlap, and focus on your solution areas. Effort measures how hard they are to activate: offering gap, partnership maturity, company size and ties to your competitors.
Why not just match partners to an ideal partner profile?
An ideal partner profile finds partners that look right. It ignores how hard they are to activate and whether they already work with your competitors, and it tends to favor large generalists. Paai scores fit and effort separately against your goal.
Why don't the biggest consultancies rank first?
They often fit on paper but are slow to activate. Paai places them at the bottom of their bucket so partners you can act on show up first.
Can I change the weights?
Your goal sets the target accounts, filters and scoring mode.