TELEGENT AI
The Primary Entry Point Into the Business Impact Operating System™

Business DNA™Assessment Architecture

A production-ready, 85-question dynamic assessment that classifies organizations across 12 scoring dimensions, assigns a Business DNA Type™, and feeds every downstream intelligence engine with calibrated, confidence-weighted organizational data.

85 dynamic questions12 scoring dimensions7 industry pathsInput layer for all engines
Assessment Architecture

Five-Layer Assessment Architecture

Business DNA™ is not a survey — it's a production assessment engine with dynamic question routing, multi-factor scoring, organizational classification, benchmark normalization, and API-first output that feeds every downstream intelligence engine.

01

1. Question Framework

85 questions across 9 domains with dynamic branching logic — industry, size, and maturity-adaptive paths

02

2. Scoring Engine

12 scoring dimensions with weighted factor analysis, confidence calibration, and benchmark normalization

03

3. Classification Engine

Business DNA Type™ assignment + 5 readiness scores + organizational archetype classification

04

4. Benchmark Engine

Industry, revenue, employee-count, and growth-stage normalized benchmarks with confidence intervals

05

5. Output Layer

Executive Report + API endpoints feeding Scout™, Workforce Intelligence™, Executive Intelligence™, and Enterprise Intelligence Advisor™

Data Flow: DNA → Downstream Engines
Business DNA™Scout™ EngineWorkforce Intelligence™Executive Intelligence™Enterprise Intelligence Advisor™Proof Center™

Business DNA™ is the single input layer. Every downstream engine reads organizational structure, scores, and classification from DNA — no duplicate data entry, no inconsistent organizational profiles across engines.

Question Framework

85 Questions Across 9 Domains

Every question is a structured data point with a defined type, validation rules, confidence weight, and downstream engine mapping. No free-text fields — every response feeds the scoring and classification engines.

Organizational Identity
8 questions
Annual revenue (exact or range)
Revenue growth rate (1yr / 3yr CAGR)
Employee count (FTE + contingent)
Location count (owned + franchise)
+4 more questions
Revenue Architecture
10 questions
Revenue concentration (top 1/3/5 customers as % of total)
Revenue predictability (recurring vs. project vs. transactional split)
Customer acquisition cost (CAC) — if known
Customer lifetime value (LTV) — if known
+6 more questions
Customer Intelligence
10 questions
Total active customers
Monthly lead volume (inbound + outbound)
Lead-to-customer conversion rate
Customer retention rate / churn rate
+6 more questions
Workforce Structure
10 questions
FTE count by function (sales, ops, product, engineering, G&A)
Management span of control (avg direct reports per manager)
Turnover rate (voluntary + involuntary, 12-month)
Time-to-hire (days from req to acceptance)
+6 more questions
Operational Maturity
10 questions
CRM in use (none, basic, advanced, enterprise-grade)
ERP/financial system maturity
Process documentation coverage (% of core processes documented)
Automation penetration (% of repeatable tasks automated)
+6 more questions
Technology Maturity
9 questions
Tech stack cohesion (integrated, fragmented, siloed)
API/integration capability (none, basic, advanced)
Data infrastructure maturity (spreadsheet, data warehouse, lakehouse)
Analytics capability (descriptive, diagnostic, predictive, prescriptive)
+5 more questions
Growth & Strategy
9 questions
3-year revenue growth target
Primary growth strategy (organic, acquisition, franchise, new market)
Capital availability (bootstrapped, debt, equity, PE-backed)
Market position (leader, challenger, niche, commodity)
+5 more questions
Risk & Resilience
10 questions
Customer concentration risk score
Supplier/vendor concentration risk score
Key-person dependency risk (bus factor)
Regulatory/compliance risk exposure
+6 more questions
Leadership & Governance
9 questions
Leadership team completeness (all critical functions covered?)
Board structure (none, advisory, fiduciary, independent chair)
Succession plan status (CEO + critical roles)
Decision-making velocity (fast/consensus-driven, moderate, slow/bottlenecked)
+5 more questions
Question Data Types & Validation Rules
Exact Numeric
Annual revenue: $4,200,000
Positive float, range-checked against industry
35% of questions
Ranged Numeric
Employees: 50-100
Ordered pair, lower ≤ upper, within bounds
25% of questions
Categorical Single
CRM: Salesforce
Must match canonical option list
20% of questions
Categorical Multi
Channels: [SEO, Referral]
Subset of canonical options, ≥1 required
10% of questions
Likert Scale
Tech maturity: 4/7
Integer 1-7, anchored per question
7% of questions
Binary
PE-backed: Yes/No
Boolean, required
3% of questions
Scoring Methodology

12-Factor Scoring Engine

Each dimension is calculated from weighted question responses, normalized against industry and size benchmarks, and calibrated with a confidence score.

Composite Score Formula
BIS = Σ(Di × Wi × CFi) / Σ(Wi × CFi)

Each dimension score is multiplied by its weight and confidence factor. The sum is divided by the sum of weighted confidence factors. CF below 0.40 reduces dimension contribution.

Business Impact Score™w: 1.00
Revenue, growth, margins, customer value, market position
0–40: Foundational41–60: Developing61–80: Optimized81–100: High Performing
Revenue Performancew: 0.90
Revenue volume, growth rate, predictability, concentration, ACV/AOV
0–40: Below Benchmark41–60: At Benchmark61–80: Above Benchmark81–100: Exceptional
Growth Readiness Score™w: 0.85
Growth rate, capital availability, market position, competitive intensity
0–40: Constrained41–60: Preparing61–80: Ready81–100: Scaling
Workforce Readiness Score™w: 0.80
Span of control, turnover, time-to-hire, tenure, wage competitiveness
0–40: Underinvested41–60: Stabilizing61–80: Optimized81–100: Strategic Advantage
Operational Readiness Score™w: 0.80
Process documentation, automation, system maturity, SLA compliance
0–40: Manual41–60: Standardizing61–80: Automated81–100: Intelligent
Enterprise Value Readiness Score™w: 0.75
Revenue quality, margin profile, growth trajectory, risk profile, governance
0–40: Not Sale-Ready41–60: Preparing61–80: Marketable81–100: Premium Asset
Customer Health Scorew: 0.70
NPS, retention, churn, expansion rate, concentration risk
0–40: At Risk41–60: Stable61–80: Healthy81–100: Advocates
Technology Maturity Scorew: 0.65
Stack cohesion, API capability, data infrastructure, cybersecurity
0–40: Legacy41–60: Modernizing61–80: Modern81–100: Leading
Risk Resilience Scorew: 0.70
Concentration risk, key-person risk, regulatory exposure, cash runway
0–40: Vulnerable41–60: Protected61–80: Resilient81–100: Antifragile
Market Position Scorew: 0.60
Market position, competitive intensity, international presence, brand strength
0–40: Commodity41–60: Challenger61–80: Leader81–100: Dominant
Organizational Maturity Scorew: 0.55
Leadership completeness, governance, decision velocity, succession planning
0–40: Founder-Dependent41–60: Professionalizing61–80: Institutional81–100: Enduring
Benchmark Alignment Scorew: 0.50
Variance from industry/revenue/employee-count benchmarks across all dimensions
0–40: Below Peer Group41–60: Peer Average61–80: Above Peers81–100: Best-in-Class
Confidence Factor (CF) Calibration
CF Components
Response Completeness
% of dimension questions that received a response
40%
Response Precision
Exact values score higher than ranged; categorical beats 'unknown'
30%
Internal Consistency
Cross-validation — e.g., revenue per employee must be plausible
20%
Recency
Assessment age — scores decay 2%/month after 6 months without refresh
10%
CF Classification
CF ≥ 0.90
Very High ConfidenceComplete exact data, consistent, < 3 months old
CF 0.75–0.89
High ConfidenceMostly exact data, consistent, < 6 months old
CF 0.60–0.74
Moderate ConfidenceMix of exact and ranged, minor inconsistencies
CF 0.40–0.59
Low ConfidenceMostly ranged, gaps detected, consistency flagged
CF < 0.40
Insufficient DataSignificant gaps — dimension contribution reduced
Business DNA Type™ Classification

8 Business DNA Types™

Each organization is assigned a primary DNA Type™ based on its scoring profile across all 12 dimensions. DNA Types determine the default downstream engine pathways, recommendation prioritization, and benchmark peer group.

BuilderBIS ≥ 70, Growth ≥ 60
Growth-Oriented Founder-Led

High growth, strong revenue trajectory, scaling rapidly — needs operational infrastructure to support growth

OptimizerBIS ≥ 70, Ops ≥ 60
Efficiency-Driven Operator

Well-run, profitable, mature operations — needs growth acceleration and market expansion

StabilizerBIS 40–69, Risk ≥ 50
Risk-Aware Steward

Resilient, risk-managed, steady performer — needs innovation injection and growth catalyst

TurnaroundBIS < 40, Growth < 40
Underperforming with Potential

Significant headwinds — revenue decline, operational gaps, workforce instability. Highest upside from platform engagement

ProfessionalizerBIS 50–69, Org Maturity < 50
Scaling SMB → Mid-Market

Crossing the chasm from founder-led to institutional — needs processes, systems, and governance

AcquirerEV Readiness ≥ 60, Growth ≥ 50
PE-Backed or Serial Acquirer

Active M&A, portfolio expansion, value creation focus — needs integration intelligence and portfolio analytics

FranchisorLocations ≥ 5, Ops ≥ 50
Multi-Unit / Franchise Operator

Location-based business model — needs replication intelligence, consistency monitoring, and benchmark analytics

InnovatorTech Maturity ≥ 70, Growth ≥ 50
Technology-Forward Disruptor

Tech-forward, high automation, digital-native — needs scaling intelligence and market dominance strategy

Classification Decision Logic (Simplified)
IF BIS ≥ 70 AND Growth ≥ 60 Builder
ELSE IF BIS ≥ 70 AND Ops ≥ 60 Optimizer
ELSE IF Tech ≥ 70 AND Growth ≥ 50 Innovator
ELSE IF EV Readiness ≥ 60 AND Growth ≥ 50 Acquirer
ELSE IF Locations ≥ 5 AND Ops ≥ 50 Franchisor
ELSE IF BIS 50–69 AND Org Maturity < 50 Professionalizer
ELSE IF BIS 40–69 AND Risk ≥ 50 Stabilizer
ELSE Turnaround (catch-all for organizations with significant improvement opportunity)
Benchmark Methodology

Multi-Dimensional Benchmarking

Each organization is benchmarked against 6 peer dimensions simultaneously — producing a composite benchmark that acknowledges no single dimension defines a peer group.

Industry
9 NAICS-based industry clusters + sub-industry

Primary benchmark — compares against structurally similar organizations

Revenue Band
8 bands: $0–1M to $1B+

Normalizes for scale — a $5M company is not compared to a $500M company

Employee Count
7 bands: 1–10 to 10,000+

Workforce-scale normalization for workforce and operational metrics

Growth Stage
4 stages: Startup, Growth, Mature, Decline

Contextualizes metrics — growth-stage benchmarks differ from mature-stage

Business DNA Type™
8 DNA Types

Peer comparison within the same organizational archetype — Builders vs. Builders

Location Count
5 bands: 1 to 100+

Multi-location normalization for consistency and replication metrics

Benchmark Score Normalization
Percentile Rank
Raw dimension scores are ranked against the peer composite. A score at the 75th percentile means the organization outperforms 75% of its peer composite on that dimension.
Z-Score Normalization
Scores are expressed as standard deviations from peer composite mean. A Z-score of +1.5 means the organization is 1.5σ above peer average. Used for gap analysis and opportunity sizing.
Confidence-Weighted
Peer benchmarks are weighted by confidence (sample size, data quality, recency). A benchmark backed by 5,000 organizations has higher weight than one backed by 50. Minimum n=30 required.
The Input Layer for Every Intelligence Engine

One Assessment. Every Engine.

Business DNA™ is the single source of organizational truth. Scout™ Engine reads DNA to identify opportunities. Workforce Intelligence™ reads DNA to model workforce scenarios. Executive Intelligence™ reads DNA to build dashboards. The Enterprise Intelligence Advisor™ reads DNA to calibrate recommendations. One input, infinite downstream intelligence.

TELEGENT AI
Business Consultant
TELEGENT
Welcome. I'm your TELEGENT business consultant — I specialize in helping organizations identify where automation can recover revenue, reduce operational drag, and accelerate growth.

Here's what I can do for you in the next few minutes:

Revenue Recovery Assessment — quantify how much revenue you're losing to missed calls, slow response times, and operational gaps
Automation Readiness Diagnostic — evaluate where intelligent automation would deliver the highest ROI in your organization
Solution Recommendation — based on your size, industry, and goals, I'll recommend the right TELEGENT engagement tier
Industry-Specific Analysis — tailored insights for your vertical (healthcare, real estate, legal, professional services, and more)

All conversations are confidential and diagnostic in nature. Where would you like to start?
Confidential Diagnostic No obligation