Outcome-based pricing engine
The cost floor, the market anchor and the value ceiling blended into a recommended price per resolution, with a range, a confidence and the inputs that produced it.
Product · Deal economics
Price the deal.
Defend the price.
An outcome-based pricing engine that reads the cost floor, the market anchor and what the outcome is worth to the buyer, and recommends a price per resolution with its range, its confidence and the reasoning attached.
Outcome price
Per resolved outcome
Sample data
Recommended band
Confidence: highCost floorWhat it should be priced atValue ceiling
What it is built from
- Direct-hire benchmarkLive
- Market rates by regionLive
- Client volumes and handle timesFrom the deal
Price per outcome, indexed to the pilot
Pilot
Ramp
Scale
Margin guardrail
Try it
Shapes, not figures. The number itself lives on the deal.
Outcome pricing
How the price per outcome is built, and what the buyer receives.
Three inputs
Direct-hire benchmark
What it would cost the enterprise to hire the role themselves, by vertical, role and location, kept live.
Market rates by region
What the market charges per hour onshore, nearshore and offshore, from published and public sources.
The client's own numbers
Call volume, average handle time and the outcomes they need, pulled from the deal record and the discovery calls.
Out
A price per outcome: a recommended range between the cost floor and the value ceiling, a confidence, the margin behind it, risk flags and a talk track.
What the buyer receives
Page 1. The business case
Current spend against the human plus AI phases, the price per outcome falling phase by phase, the annual cost, and the saving against direct hire and against the market.
Page 2. Outcomes and attribution
Each outcome defined so both sides agree what it means, and the data that proves it happened.
Page 3. The pilot plan
One page: the first twelve weeks, and what they lead to.
The CFO's model
A workbook with the current state, the proposed model and every assumption, editable by the person who will challenge it.
All of it generated from the deal record in one press, filed on the deal, shared as a read-only link.
What the BPO sees internally
Containment up, staffing down, margin up.
The side the client never sees: how the twelve-week pilot moves from mostly human to mostly AI, and what that does to your margin.
- AI containment, rising
- Human staffing, falling
- Gross margin, rising
Shape only. No values on any axis.
What Deal economics covers.
Where it sits in the deal
Highlighted stages are where this pillar's capabilities sit.
Margin guardrails
The floor your team sets, watched on every shape of the deal. A scope that breaches it is flagged before it reaches a proposal, with the reason named.
Scenario comparison
Pilot, ramp and scale modelled side by side, so a buyer can see the shape of the commitment as well as its price.
Live market intelligence
The anchor stays current, so a recommendation is read against what this work trades at now rather than what it traded at last year.
ROI and benefits models
BPO against in-house, and the AI benefits case, built from the same inputs as the price, with payback and return shown as ranges.
Client deliverables in one press
A client brief, an internal briefing and the financial model, generated together, filed on the deal and shareable as a read-only link.
A number with its reasoning attached.
The recommendation carries a range, a confidence and a risk flag where the deal is thin. The talk track explains it in the words a rep can actually say on the call, and it rewrites itself when the shape of the deal changes.
- Range and confidence, never a single false figure
- Margin analysis and risk flags on the same screen
- A plain-English talk track that follows the model
- Every input carries the call it came from
Research pack
Northsky Logistics · 500 reviews read
Sample data
Ratings Complaints Any language
Sentiment
counted in code, not estimated
- Negative 46%
- Neutral 31%
- Positive 23%
Four drafts per decision-maker
Dana Okafor, VP Revenue Operations
4 draftsMarcus Hale, CFO
4 drafts
18-page deep research and GTM report, ready to send.
Run it yourself.
A film. The inputs come off the deal, three readings blend into one recommendation, the pilot breaks a margin guardrail, the platform explains it and offers the moves, and a person decides what to change.
Every figure is sample data. Nothing here is connected to a live account.
Deal economics
Sample dataOpen
AnyCRM. Deal economics.
Inputs
Volumes and channels, coverage and languages, delivery model and locations, automation in scope, each pulled from a dated call or the accepted proposal.
The blend
Three readings of the same deal: the cost floor delivery has to cover, the market anchor this work trades at, and the value ceiling the outcome is worth to the buyer. Shown as position, never as a figure.
Recommendation
A defensible range per resolution with its confidence, margin analysis and a current market anchor. The figures live in the model, beside their sources.
Scenarios
Pilot: one channel, one region, a fixed window. Ramp: a second channel with a containment target. Scale: full scope with service levels committed.
Guardrail
The pilot as scoped breaches the margin guardrail: out-of-hours cover on two channels with no automation in phase one. Ramp and scale both clear it.
Your call
Three moves: raise the automation in scope for phase two, shorten the pilot window and re-price at ramp, or trim the out-of-hours channel from the pilot.
Resolved
Automation comes in from week three and the containment target is committed at phase two. The guardrail clears on all three shapes.
Talk track
The plain-English reason the price is the price, rewritten when the shape changed so the words and the model cannot drift apart.
Deliverables
Client brief, internal briefing, the financial model as a workbook and a read-only proposal link, filed on the deal with the activity logged.
Close
Price it once, and be able to defend it.
One data model. Five pillars.
What intelligence finds, execution acts on and delivery keeps. The platform opens all of it to the tools you already use.
Intelligence
Account readiness, deal intelligence, Prospecting research, Insights.
Execution
Accounts, deals, contacts, Prospecting runs, outreach, Business Cards.
Delivery
Activities timeline, meeting assistant, files, notifications.
Deal economics
Outcome pricing, margin guardrails, scenarios, ROI models.
Platform
AI assistant that acts, MCP server, public API, integrations.
Give your team the unfair advantage.
Full deal intelligence from day one. No credit card required.