Current Drift · in dollarsbaseline
$2.67M
across 5 core SOPs · 2,400 employees
Recoverable Driftrecoverable
$2.11M
79% reduction · Empower + Build phase
+$2.1M / yr recurring
Current Drift · in hoursannualized
10,096hrs
≈ 4.9 FTE-equivalents redeployable to higher-value work
Drift payback
49d
on $285K diagnostic · all-in with $1.3M build: ~267d
Why most AI investments fail · independent research
95%
of enterprise AI pilots delivered zero measurable P&L impact through 2025.
MIT NANDA · GenAI Divide Report · July 2025 74%
of companies struggle to achieve and scale AI value beyond proofs of concept.
BCG · AI Adoption Study · October 2024 39%
report any enterprise EBIT impact from AI — most attribute less than 5%.
McKinsey · State of AI 2025 10-25%
EBITDA improvement leaders capture, compounding the gap as laggards fall further behind.
Bain · Technology Report 2025 Helios Manufacturing's diagnostic identifies which 5% — and the routing decisions that put them there.
Diagnostic NarrativeMid-distress Industrial · PE-backed · Northbeam portfolioGenerated · Helios Manufacturing profile
Helios sits at the convergence of legacy ERP debt, a culturally guarded floor workforce, and a sponsor-mandated 18-month AI roadmap. The binding constraint is not technology — it is the 1.4-point divergence between leadership AI confidence and frontline trust, the highest in our distressed-PortCo cohort.
Sequencing matters more than capability. Helios has enough technology to capture 10-15% productivity gains; reaching 30-50% requires resolving the cultural lag before the data lag.
Drift · Areté Intelligence CapabilityHelios's Drift ProfileWhere your operating model loses time and capital before AI ever touches it. Each row is a recurring process drifting against optimal — what Helios spends today in loaded labor + tooling, and what Sextant + the enabling track converts it to. Click any row for the underlying math.
Illustrative defaults shown. Sextant's Map step calibrates your Drift Profile to actual workflow telemetry inside 14 days.
ProcessCycles/yrCurrent costWith SextantSavings%
Quantum ViewThe opportunity envelope · your selection moves through itThe band shows the full opportunity at stake — no-action floor below, all-tracks ceiling above. Your selection (the live line) shows how much of that upside you're claiming. 6 / 6 tracks selected.
Your selection · +18mo
3.15+1.71 pts
$2.1M / yr recovered
Opportunity envelopeYour selection · liveCeiling (all tracks)No-action floorCone narrows with commitmentUnselected tracks · faint dashed = incremental contribution
7-Pillar ReadinessCurrent · Projected · Cohortscale 0-4 · weights vary per industry · projected reflects selected tracks
CurrentProjected (selected tracks)Cohort median
Inaction Debt · Scenario ModelThe cost of waiting is already compoundingNo action preserves today's drift, forfeits model-routing productivity gains, and lets culture/adoption drag widen the readiness gap.
18-month cost of waiting$5.0M$3.6M - $6.7M scenario range
Next 90 days$692K
Readiness gap1.89 pts
Primary driverDrift burn
Decision signalFund the recommended sequence before the next planning cycle; delay is modeled as avoidable EBITDA leakage, not neutral waiting time.
Validated by independent research
Cumulative downside by horizonExpected case · hover for range
Current drift burnProductivity gapAdoption dragClient/process risk
Readiness trajectory0-4 scale
Recommended @ 24mo · 3.15No-action @ 24mo · 1.22Final readiness gap · 1.93 pts
The Reallocation · Areté Intelligence CapabilityHelios's Reallocation MapWhere reclaimed human capacity gets redeployed. Sextant treats AI as augmentation, not reduction — every hour reclaimed by Drift is routed to higher-value work, training, or strategic initiatives wherever the operating model permits.
Reallocation Index
92/100
% of reclaimed capacity redeployed to higher-value or training (not eliminated)Breakdown · same data, precise numbers
Reclaimed from
Finance & Accounting
4.4K hrs
via Monthly close + board prep automation
Operations & Engineering
3.4K hrs
via Incident RCA + RFP evaluation acceleration
Compliance & Risk
1.5K hrs
via Regulatory filing pre-population
Operations & Engineering
0.8K hrs
via Cross-system data triage
Total reclaimed10.1K hrs / yr
↓
Redeployed as ↓
26%
19%
23%
15%
10%
8%
Higher-value redeployment
Revenue · Customer Success
2.6K hrs · 26%
Expand named-account coverage to top 40 customers
Higher-value redeployment
Revenue · BD & Partnership
2.0K hrs · 19%
Outbound to 200 new mid-market accounts
Training & reskilling
ArILearn · Reskilling
2.3K hrs · 23%
AI literacy + agent ops certifications
New initiative staffing
Strategic Initiative · New Product
1.5K hrs · 15%
Spin up product line II — agentic floor analytics
Reserve / well-being
Reserve · Capacity Buffer
1.0K hrs · 10%
Reduce overtime spend; team resilience
Eliminated (phased)
Eliminated
0.8K hrs · 8%
Phased role consolidation w/ voluntary attrition over 18 months
RECLAIMED HOURS · SOURCE
REDEPLOYMENT · DESTINATION
Finance & Accounting
4.4K hrs
Monthly close + board prep automation
Operations & Engineering
3.4K hrs
Incident RCA + RFP evaluation acceleration
Compliance & Risk
1.5K hrs
Regulatory filing pre-population
Operations & Engineering
0.8K hrs
Cross-system data triage
Revenue · Customer Success
2.6K hrs · 26%
Revenue · BD & Partnership
2.0K hrs · 19%
Strategic Initiative · New Product
1.5K hrs · 15%
ArILearn · Reskilling
2.3K hrs · 23%
Reserve · Capacity Buffer
1.0K hrs · 10%
Eliminated
0.8K hrs · 8%
Index narrative92% of reclaimed capacity redeployed to higher-value work or upskilling. Net headcount: stable. Cultural risk: minimal.
workforce reclassification · per-location
Reclassification Constellation
4 locations · 2,400 headcount · 12,400 hours reclaimed · global index 92
Filter
Coverage tier (outer ring):ProtectedOpen-permissibleSelf-hosted
Node size:∝ headcountHalo:∝ reallocation indexArrow → :capacity migration
Implementation Tracks
Projected ImpactAdopting 6 tracks
Composite readiness3.15+1.71 from today
Investment$1.3Mover 18 weeks
Top liftValuesingle highest-leverage pillar
Pillar-by-pillarCurrent → Projected
Sextant Capability · Areté-LockedModel Portfolio · Σ-ScoreMethodology engagement-locked
47/100
Portfolio underutilization detected
Annualized opportunity$808Krecoverable by re-routing task classes within risk-adjusted bounds
Selective open-weight
Open-source models advisable for ~70% of task classes with documented risk acceptance
Task-Class FitWhere the opportunity livestask classes are visible · specific model assignments are delivered as part of a Sextant engagement
Task ClassFitCurrent spendSavings
Summarization & extraction91$280K$252K
Document classification88$195K$174K
Code generation & review71$410K$215K
Floor-data triage agents79$220K$152K
Customer-facing reasoning32$380K$15K
Regulated communications15$355K—
Per-class model recommendations delivered as part of a Sextant engagement. Illustrative profile shown.
Agent Architecture · Areté Intelligence CapabilityHelios's recommended model + agent hierarchy per workflowSextant doesn't just recommend which models to use — it recommends the agent architecture per workflow. Frontier models stay where high reasoning matters. Delegation subagents handle drafting, retrieval, and verification. Autonomous subagents run scheduled background work. Same output quality at a fraction of the all-frontier cost.
Annual savings vs. all-frontier$16K70% reduction · 12 cycles/yr
PRIMARY · INTERACTIVE
Frontier engine
Final variance review, board-ready commentary, judgment calls on flags
hrs/cycle4$/cycle$320
DELEGATION · SUBAGENTS
Mid-tier engine
Variance analysis drafting across cost centers
hrs/cycle6$/cycle$96
Mid-tier engine
4-system reconciliation + flag exceptions
hrs/cycle8$/cycle$128
AUTONOMOUS · CRON
Value engine
Overnight data ingestion + anomaly tagging
hrs/cycle2$/cycle$14
Recommended architecture$558/cycle
If you ran everything on a single frontier model$1,880/cycle
Per-cycle savings$1,32270% lower
Frontier— flagship reasoning · customer-facing · regulated workMid-tier— delegation · drafting · structured retrievalValue— autonomous · scheduled · pattern-matching
Model Portfolio Optimizer · scenario simulator
The optimal model matrix re-solves itself for any scenario
Most teams pick one model and re-pick by hand when cost, compliance, or capability shifts. Sextant treats the model layer as a portfolio — routing each task class to the cheapest tier that clears its capability bar within your compliance posture. Flip a scenario and watch the matrix re-solve.
Optimized portfolio
77%lower cost
vs. all-frontier baseline
Coverage postureSelf-hosted
Tiers are illustrative classes; the per-model calibration is engagement-locked.
Independent ValidationThe Sextant diagnostic is grounded in independent enterprise AI research: IDC ($3.70 returned per $1 invested · 2025), Wharton 3-year Enterprise AI Study (74% report positive ROI), Google Cloud 2025 Annual AI Survey (74% achieved ROI in first year), Deloitte 2025 AI Survey (84% gaining ROI), and MIT NANDA GenAI Divide Report (95% pilot failure framing referenced above). Sextant's measurement and recommendation methodology is delivered under engagement.
Representative Sextant output — fictional company and modeled assumptions.