Overview

/presales-price is a production command in the Presales category of the Prismatic Platform that performs comprehensive pricing strategy analysis for presales opportunities and cases. The command calculates optimal pricing based on technical assessment data, implementation effort estimates, competitive positioning, value-based pricing models, and market intelligence to produce detailed pricing recommendations with multiple packaging options and discount scenarios.

The pricing engine integrates multiple pricing methodologies to generate well-rounded recommendations. Cost-plus pricing establishes the floor by aggregating implementation effort, infrastructure costs, and margin requirements. Value-based pricing determines the ceiling by quantifying the business value the solution delivers to the prospect. Competitive pricing calibrates the recommendation within market context by benchmarking against known competitor offerings. The final recommendation balances these inputs to maximize win probability while maintaining healthy margins.

This command operates under the L2+ authority level and is executed by the pricing-strategist agent. It is part of the platform's 216-command slash command registry, built on the AIAD (Autonomous Intelligence Agent Design) standard. The pricing strategist agent combines technical understanding with commercial acumen, drawing on the AIAD registry's knowledge of platform capabilities and effort requirements to produce pricing that is both technically grounded and commercially competitive.

Within the presales pipeline, /presales-price typically follows /presales-assess, which provides the technical effort estimates that form the cost basis, and precedes /presales-propose, which incorporates the pricing recommendation into the formal proposal. The pricing output can also feed back into /presales-case to update the opportunity value and inform pipeline forecasting.

Architecture

The pricing engine architecture implements a multi-model calculation framework that produces pricing recommendations from multiple methodological perspectives.

Technical Assessment ──> Cost Calculator
(Effort estimates)       (Implementation + Infrastructure + Margin)
                                │
Competitive Data ──────> Market Calibrator
(Competitor pricing)     (Benchmark + Position)
                                │
Value Analysis ────────> Value Calculator
(Business impact)        (ROI + TCO + Risk Reduction)
                                │
                                v
                    Pricing Optimizer
                    (Multi-model synthesis)
                                │
                    ┌───────────┼───────────┐
                    v           v           v
              Subscription   License    Hybrid
              Model         Model      Model
                    │           │           │
                    v           v           v
              Pricing Recommendation Report
              (Options, scenarios, discounts)

The Pricing Optimizer synthesizes inputs from all three pricing models using configurable weights. For new market entries, value-based pricing receives higher weight. For competitive replacements, competitive pricing dominates. For government and enterprise deals with formal procurement processes, cost-plus pricing receives higher weight to support detailed cost justification requirements.

Each pricing model generates multiple scenarios: a base case (most likely), an optimistic case (maximum margin), and a defensive case (minimum viable price to win). This three-scenario approach gives the sales team flexibility to negotiate while maintaining clear guardrails on pricing floors.

Usage

Basic Pricing Analysis

# Price from existing case assessment
/presales-price --case-id "CASE-2026-042"

# Price from assessment data
/presales-price --from-assessment assessment-2026-02-15.json

# Quick pricing estimate
/presales-price --requirements "EASM for 500 domains, 12-month contract" --quick

Model-Specific Pricing

# Subscription model pricing
/presales-price --case-id "CASE-2026-042" --model subscription --term 12m

# License model with support tiers
/presales-price --case-id "CASE-2026-042" --model license --support premium

# Hybrid (license + subscription services)
/presales-price --case-id "CASE-2026-042" --model hybrid

# Compare all pricing models
/presales-price --case-id "CASE-2026-042" --compare-models

Scenario Analysis

# Generate multi-scenario pricing
/presales-price --case-id "CASE-2026-042" --scenarios base,optimistic,defensive

# Discount analysis with margin impact
/presales-price --case-id "CASE-2026-042" --discount-analysis --max-discount 25

# Volume pricing for multi-domain deals
/presales-price --case-id "CASE-2026-042" --volume-tiers "100,500,1000,5000"

Competitive Pricing

# Price with competitive benchmark
/presales-price --case-id "CASE-2026-042" --benchmark "BitSight,SecurityScorecard"

# Price to win analysis
/presales-price --case-id "CASE-2026-042" --price-to-win --target-probability 70

Options & Parameters

Parameter	Type	Default	Description
`--case-id`	string	none	Presales case identifier
`--from-assessment`	path	none	Assessment file for effort data
`--requirements`	string	none	Direct requirements for quick pricing
`--quick`	flag	false	Quick estimate without full analysis
`--model`	enum	subscription	Pricing model: subscription, license, hybrid
`--term`	duration	12m	Contract term for subscription models
`--support`	enum	standard	Support tier: basic, standard, premium, enterprise
`--compare-models`	flag	false	Compare all pricing models side-by-side
`--scenarios`	string	base	Scenarios: base, optimistic, defensive (comma-separated)
`--discount-analysis`	flag	false	Generate discount impact analysis
`--max-discount`	integer	20	Maximum discount percentage for analysis
`--volume-tiers`	string	none	Volume tier breakpoints for volume pricing
`--benchmark`	string	none	Competitor names for competitive pricing
`--price-to-win`	flag	false	Calculate price-to-win
`--target-probability`	integer	60	Target win probability for price-to-win
`--currency`	enum	EUR	Pricing currency: EUR, USD, CZK, GBP
`--margin-floor`	integer	30	Minimum acceptable margin percentage
`--format`	enum	table	Output: table, json, html, pdf
`--output`	path	stdout	Output file path

Execution Flow

The pricing analysis follows a structured calculation pipeline that builds from cost basis to final recommendation.

Phase 1 -- Input Collection (1-2 seconds): The command retrieves the technical assessment data (effort estimates, complexity ratings, infrastructure requirements) from the specified case or assessment file. If competitive benchmark data is requested, it queries the competitive intelligence database for relevant pricing data points.

Phase 2 -- Cost-Plus Calculation (< 1 second): Implementation effort (person-days) is multiplied by the applicable day rate. Infrastructure costs are estimated based on the solution architecture. Ongoing operational costs are annualized. The target margin is applied to produce the cost-plus price. This establishes the pricing floor -- below this price, the engagement would be unprofitable.

Phase 3 -- Value-Based Calculation (1-3 seconds): The business value of the solution is quantified across multiple dimensions: risk reduction (cost of potential breaches prevented), compliance value (cost of non-compliance penalties avoided), operational efficiency (staff time saved), and competitive advantage (market positioning improvement). The value-based price is set as a fraction of the total quantified value, typically targeting 10-30% value capture.

Phase 4 -- Competitive Calibration (1-2 seconds): If competitive benchmarks are provided, the pricing is calibrated against known competitor price points. The system evaluates the platform's competitive advantages and disadvantages to determine whether pricing should be positioned above, at, or below the competitive median.

Phase 5 -- Scenario Generation (< 1 second): Multiple pricing scenarios are generated by adjusting key parameters. The base case uses standard assumptions. The optimistic case maximizes margin. The defensive case minimizes price while maintaining the margin floor. Each scenario includes a probability-adjusted expected value calculation.

Phase 6 -- Report Generation (< 1 second): The pricing recommendation is rendered in the requested format with detailed breakdowns, margin analysis, scenario comparison, and recommended negotiation strategy.

Integration Points

Component	Integration Type	Description
/presales-assess	Upstream	Effort estimates feed cost calculation
/presales-propose	Downstream	Pricing incorporated into proposals
/presales-case	Case Management	Pricing linked to case, updates value
/presales-research	Data Source	Competitive pricing intelligence
/presales	Parent Command	Top-level presales orchestration
Prismatic Agents	Execution	`pricing-strategist` agent
Prismatic Storage	Persistence	Pricing history, competitive data
Telemetry	Observability	Pricing accuracy and win-rate correlation

Best Practices

Base Pricing on Assessment Data: Always run /presales-assess before pricing to ensure effort estimates reflect actual technical complexity. Ad-hoc pricing without technical grounding frequently results in underpricing or scope misalignment.

Use Multiple Models: Run --compare-models to see the opportunity from different pricing perspectives. Subscription models work well for ongoing services, while license models may be preferred by prospects with CapEx budgets. Having both options ready increases deal flexibility.

Maintain the Margin Floor: The --margin-floor parameter ensures that no pricing scenario drops below the minimum acceptable profitability. Resist the temptation to lower this floor to win deals -- unprofitable deals create delivery pressure that compromises quality.

Generate Discount Scenarios: Use --discount-analysis before entering negotiations. Having pre-calculated discount scenarios with margin impact data enables confident, real-time negotiation responses without risking margin erosion.

Track Pricing Accuracy: After deals close, compare actual implementation costs against pricing estimates. This feedback loop improves future pricing accuracy and identifies systematic biases in effort estimation.

Error Handling

Error Condition	Behavior	Recovery
Case not found	Error with available cases	Verify case ID
No assessment data	Error with guidance	Run `/presales-assess` first
Missing effort estimates	Partial pricing with warning	Complete technical assessment
Unknown competitor	Warning, benchmark excluded	Verify competitor name
Below margin floor	Warning with floor enforcement	Adjust scope or margin target
Currency conversion unavailable	Fallback to EUR	Specify supported currency

Advanced Usage

Multi-Year Deal Structuring

# Multi-year pricing with annual escalation
/presales-price --case-id "CASE-2026-042" --model subscription \
  --term 36m --escalation 3 --front-load 20

# Phased implementation pricing
/presales-price --case-id "CASE-2026-042" --phases 3 \
  --phase-split "40,35,25" --format pdf

Proposal-Ready Export

# Generate pricing section for proposal
/presales-price --case-id "CASE-2026-042" --compare-models \
  --scenarios base,optimistic,defensive --format pdf \
  --output pricing-section.pdf --proposal-ready

ROI Calculation

# Generate ROI analysis for prospect
/presales-price --case-id "CASE-2026-042" --roi-analysis \
  --payback-period --format pdf --output roi-analysis.pdf

Doctrine Compliance

All commands operate under the NO MERCY, NO DOUBTS doctrine:

NO MERCY: Zero tolerance for incomplete execution or quality violations. Pricing is never generated without adequate cost basis data. Margin floors are enforced without exception. All pricing scenarios are calculated with the same rigor regardless of deal urgency.
NO DOUBTS: Full investigation before action, evidence-based results. Every pricing component is traceable to specific cost drivers or market data points. The NABLA axiom of Signal Plurality requires that pricing recommendations consider multiple methodological perspectives (cost-plus, value-based, competitive) rather than relying on a single approach.

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/presales-assess - Technical assessment of opportunities and cases
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Connect & Contribute

Created by Tomáš Korcak (korczis) | Open Source under GHL

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