Stratenity Advisory

Advisory embeds strategic capability around your highest-priority decisions and execution needs.

Once Solutions defines what your organization needs to accomplish, Advisory is how Stratenity works with your team to move it forward. Engage through a defined Advisory Engagement for a specific outcome, or an Advisory Membership for persistent strategic capability inside your organization. Scoped to the decision, matched to organizational complexity, and governed end to end.

2 ways to engage AI-native · Human-governed Outcome-based delivery Governed end to end
Two ways to engage

Two ways to engage. One capability.

Engage Stratenity in two ways: a defined Advisory Engagement for a specific outcome, or an Advisory Membership that provides persistent strategic capability inside your organization. Not sure where to start? Explore Solutions to identify the problem or capability you need to address.

Advisory capabilities

Bring in the capability required around the outcome that matters.

Stratenity Advisory spans strategy, execution, AI, data, strategic intelligence, growth, and AI governance. Engage a focused capability for a defined outcome, or access several through Advisory Membership.

Membership

Enterprise Advisory Membership

Strategic capability without building another consulting team.

Access ongoing Stratenity capability across strategy, execution, AI, data, intelligence, and governance, with human judgment and governance applied where accountability requires it.

Membership · OngoingDetails
Engagement 01

Strategic Readiness Workshop

Cut through noise. Lock a 12-month execution plan.

An executive workshop that aligns leaders, prioritizes initiatives, and produces a board-ready 12-month plan.

3–4 weeksRead more
Engagement 02

Data Strategy & Operating Model

Data strategy built around business decisions, AI, and execution, not infrastructure for its own sake.

Define priority use cases, data requirements, governance, operating ownership, KPIs, and the roadmap needed to make data usable across decisions, analytics, and AI.

Use cases · Governance · RoadmapDetails
Engagement 03

AI Strategy & Operating Model

Move AI from experimentation into the operating model.

Define priority use cases, roles, decision rights, workflows, governance, adoption requirements, and the execution roadmap needed to operationalize AI across the organization.

Use cases · Operating modelDetails
Engagement 04

AI Readiness & Integration

Know where AI is ready, what comes next, and how to scale it responsibly.

Assess readiness across strategy, data, technology, people, governance, and execution; prioritize use cases; and build the blueprint, controls, and operating rhythm required to move forward.

Readiness · RoadmapDetails
Engagement 05

Strategic Execution Lab

Move strategy from deck to operating cadence.

Convert strategic priorities into initiatives, ownership, decision rights, KPIs, dependencies, governance, and operating cadence, ready to carry into execution.

Initiatives · CadenceDetails
Engagement 01

Lead Intelligence & Sales Execution Plan

The conversation prepared, not just the list.

15–50 priority accounts with documented buying triggers, contact intelligence, segment-specific messaging, outreach sequences, objection handling, and a 6-week execution plan.

Most requestedDetails
Engagement 02

Competitive Landscape Scan

Know who you are competing with, how they position, and where the gaps are.

Deep scan of 5–10 competitors covering positioning, messaging, pricing signals, product gaps, and market claims, with a differentiation gap analysis. 72-hour delivery.

5–10 competitorsDetails
Engagement 03

Market Entry Intelligence

Right market, right moment, right entry point.

Sector-level demand, buyer persona mapping, structural and regulatory barriers, timing signals, recommended entry sequence, and 3–5 priority accounts to validate.

Sector-specificDetails
Engagement 04

Market + Account Intelligence

See the market and the accounts within one decision frame.

Combines Market Entry Intelligence with Lead Intelligence. Sector context frames account intelligence. 20–35 accounts, competitive scan, recommended 90-day execution order.

Best valueDetails
Engagement 05

Account Acceleration Brief

One account. One conversation. 48 hours.

Single-account deep dive before a high-stakes meeting, proposal, or partnership. Account intelligence, executive profile, deal context, discovery questions, meeting prep.

Single account · 48hrDetails
Engagement 06

Pipeline Intelligence Review

A strategic read on existing pipeline.

Applies Stratenity intelligence to your CRM or pipeline list to identify active buying signals, stalled accounts, mis-prioritized opportunities, and overlooked pipeline potential. Up to 50 accounts.

Up to 50 accountsDetails
Area 01

Operating Model & Council

Who decides, who owns, who signs off.

The oversight council, decision rights and accountability model, tiered approval gates, and the policies that turn principles into operating rules people follow.

Council · GatesDetails
Area 02

Risk & Model Risk Management

Apply the right controls to the right level of AI risk.

Risk-tier every use case and model, run model-risk reviews, and apply proportionate controls, tracking risks, issues, assumptions, dependencies, and monitoring against what matters.

Risk tiers · ReviewDetails
Area 03

Responsible & Ethical AI

Fair, transparent, explainable, and accountable.

Fairness and bias testing, transparency and explainability, human-in-the-loop checkpoints, and disclosure standards, as controls you can evidence.

Fairness · OversightDetails
Area 04

Regulatory Compliance & Assurance

Build evidence against the standards regulators and assessors expect.

Map your AI estate to the EU AI Act, NIST AI RMF, and ISO/IEC 42001; close the gaps; and assemble the documentation and audit trail assessors expect.

EU AI Act · ISO 42001Details
Area 05

Data Governance & Privacy for AI

Govern the data AI depends on.

Lineage, quality, and access control on the data feeding AI, aligned to privacy law (GDPR / CCPA), consent, minimization, retention, and controls.

Lineage · PrivacyDetails
Area 06

AI Lifecycle Controls & Monitoring

Governance that survives production.

Deployment approval gates, versioning and provenance, live monitoring for drift and degradation, and an incident-response path when performance, behavior, or risk moves outside approved thresholds.

Gates · MonitoringDetails
Capability-Based Pricing

A different operating model for advisory.

You engage a governed strategy execution capability, not consultant hours or team size. Pricing reflects the outcome, organizational complexity, governance requirements, and capability required, not the number of people assigned.

Decision scope Organizational complexity Governance requirements Capability breadth
The infrastructure behind Advisory

Advisory runs on Stratenity, not a staffing pyramid.

VelorStrategy, OneMind Strata, StratenAI, SXM, and the Stratenity Library provide the intelligence, structure, workflows, and execution infrastructure behind every engagement. Human judgment and governance are applied where decisions and accountability require them.

How we work

Four steps. Governed from decision to execution.

Every engagement moves from a defined decision to activated execution, with human judgment and governance applied throughout.

01

Define the decision

A focused scoping conversation establishes the business question, decision in scope, stakeholders, constraints, required outcome, and success criteria before work begins. Typically 25–30 minutes.

02

Build the intelligence

OneMind Strata, StratenAI, SXM, Stratenity research, and relevant client evidence work together to establish the fact base, structure the problem, and surface the decisions that matter. Primary intelligence: typically 48–72 hours.

03

Apply strategic judgment

Stratenity advisors challenge assumptions, evaluate tradeoffs, test recommendations against the evidence, and apply human judgment and governance to the final decision frame.

04

Activate execution

Recommendations are translated into priorities, owners, KPIs, governance, decision rights, and an execution sequence. Deliverables can continue inside VelorStrategy so the work moves from recommendation into operating cadence.

Trust & governance

Fast does not mean loose.

Engagements combine AI-enabled speed with human judgment, confidentiality controls, and clear governance, accelerating strategy work without compromising rigor or accountability.

Private by design

Client work is separated by engagement, protected through appropriate access controls, and encrypted in transit and at rest. Engagement materials can be deleted upon request in accordance with applicable retention requirements.

Your work stays yours

Client files, deliverables, and engagement context are not used to train Stratenity models. Client intellectual property remains the client’s.

Human-governed judgment

AI accelerates research, structure, synthesis, and analysis. Human judgment governs consequential recommendations, tradeoffs, and final decision framing.

Built for execution

Outputs connect recommendations to ownership, KPIs, decision rights, governance, milestones, and operating cadence, so the work can continue after the engagement ends.

One decision, or a full operating shift. Start with a conversation.