SEXTANT · ARETÉ INTELLIGENCE
Before you fund AI, map the route to value.
Know where the company stands, where AI can create value, and what to do next.
When tools, pilots, hiring plans, and vendor proposals compete for attention, leadership needs one evidence-backed basis for deciding what to fund, validate, defer, or decline. The Sextant AI Value Map turns operating evidence into a prioritized value-creation agenda and a practical route to action.
AI opportunity and readiness diagnosticWhere Sextant fits
Sextant is not the whole engagement — it is the instrument for the first of three phases.
01
Discover
Determines where AI should create value. Sextant is the Discover-phase instrument — it maps operating evidence to a prioritized, defensible agenda before anything is funded.
You are here — this demo is Discover
02
Empower
Builds the ownership, skills, strategic vision, risk model, and adoption capacity to act on what Discover surfaces.
03
Build
Creates the technical capability that makes the prioritized opportunities real.
Realized impact is multiplicative: Build quality × Empower effectiveness.
A conceptual model, not an ROI formula.
How Sextant works
Three steps, in order, from evidence to accountable action.
Map
Establish where the company stands. Compare leadership perception with operating evidence, and surface workflow, data, governance, technology, talent, and adoption constraints.
Decide
Prioritize three to five AI and workflow opportunities with modeled value ranges, assumptions, confidence, dependencies, and overlap. Each gets an explicit disposition: fund, validate, defer, or decline.
Mobilize
Translate advancing priorities into named owners, 30/60/90-day workplans, evidence gates, kill criteria, and a 30-day activation checkpoint.
The 28-day engagement
What happens, and what the company contributes, from kickoff to decision.
Day 0
60-minute executive kickoff to align scope, sponsors, and the priority questions the engagement should answer.
Days 1–21
A ~45-minute diagnostic of structured items and AI-scored skill assessments for general participants, up to 8 selected 45–60-minute AI-led interviews (roughly 90–105 minutes total for those interviewees), and a lightweight document pack review — all role-specific, not a blanket per-person time commitment.
Ongoing
~3–5 hours of internal coordinator admin time to schedule participants and route document requests.
Day 28
90-minute executive readout and decision session covering the prioritized opportunity agenda and dispositions.
Effort is role-specific — participants are not all asked for the same amount of time.
What you can explore here
Every surface in this demonstration, grouped the way the navigation rail groups them.
Discovery
Diagnostic
The structured items plus AI-scored skill assessments participants complete — how leadership perception is captured at scale.
For: anyone taking the diagnostic
AI Conversation
The adaptive AI-led interview format used for the small set of deep-dive participants.
For: selected interviewees
Document Analysis
How the evidence pack — policies, architecture docs, roadmaps — is reviewed and synthesized.
For: engagement coordinators
Outputs
Individual Report
A single respondent's readiness profile and archetype, shown confidentially to that person only.
For: individual participants
Cohort Report
The aggregated, board-ready organizational readout — domain profile, prioritized initiatives, dispositions.
For: sponsors and leadership
Command Center
The live, per-company diagnostic view used to walk an executive through findings interactively.
For: CEO / executive sponsor
Reference
Methodology
The frameworks, scales, and formulas behind every score in this demo, with citations.
For: anyone checking the math
Research Appendix
Optional technical depth on the research behind the instrument — for readers who want the underlying validation, not just the citations.
For: anyone checking the math
Glossary
The load-bearing vocabulary used throughout the reports.
Pillars
The seven AI-readiness dimensions Sextant scores every company against — the shared vocabulary behind every report in this demo.
Strategy, Value & Portfolio Posture · Data Foundation · Technology, MLOps & AgentOps · Governance, Risk & Compliance · Operating Model & Talent · Culture & Psychology · Value Capture & Measurement
Maturity scale
A 0–4 scale used to score every pillar: 0 absent, 1 ad hoc, 2 defined, 3 managed, 4 optimized. It gives leadership perception and operating evidence a common, comparable unit.
Drift Profile
The gap between how leadership perceives the organization's AI readiness and what the operating evidence actually shows. A wide gap in either direction is itself a finding.
Σ-Score
A single composite readiness number rolled up from the pillar scores, used as a shorthand reference point — never a substitute for the underlying evidence.
Reallocation Map
A view of where effort and attention are currently spent versus where the evidence says they should be spent, given the prioritized opportunities.
Agent Architecture
The reference model Sextant uses to describe how AI agents, tools, and human oversight fit together for a given workflow — used to assess technical readiness, not to prescribe a vendor.
Archetype
A short behavioral label describing how an individual participant currently relates to AI tools in their work, derived from their diagnostic and interview responses.
Disposition
The explicit call attached to every prioritized opportunity: fund, validate, defer, or decline. It is the decision the engagement is built to produce.
Trust & confidentiality
Individual participant outputs remain confidential. Management receives appropriately aggregated organizational findings — no individual diagnostic or interview response is shared upward.
Modeled value ranges with explicit assumptions and confidence — not guaranteed outcomes. Every economic figure in this demonstration carries its assumptions and confidence level alongside it.
Sextant by Areté IntelligenceRepresentative Sextant output — fictional company and modeled assumptions.