Strategic Alignment & Agentic Roadmap
Align deployments to P&L outcomes. Sequenced, not menu-picked.
SOLUTIONS · PILOTS-TO-PRODUCTION
Agentic deployments.
Enterprise outcomes.
Stand8 helps enterprises ship agentic AI safely and at scale by combining certified governance, production-grade delivery, and measurable business outcomes in one partner. Five customer-facing pillars with seven diagnostic lenses behind the scoring model.
- Strategy
- Data
- Agents
- Workflows
- Production
Three pilots, plotted. Pilot I pays back by month 3 and its returns fund Pilot II. Pilot III is data-gated and barely crosses break-even in a year. Sequencing is the strategy.
Enterprise Track
Multi-quarter agentic programs for Fortune 500 teams. Data foundation, orchestration, governance at scale.
Mid-Market Track
90-day production sprints. Senior engineers, outcome-based pricing, partner co-funding attached.
Regulated Industries
Media, financial services, healthcare. ISO 42001, NIST AI RMF, and state-AI-law overlays built in.
OPERATIONS · CONTROL POINTS
Where programs break.
Operational AI depends on the handoffs between data, models, agents, workflows, and outcomes. We map those control points before we build.
- DataNo lineage
- ModelNo evaluations
- Agent
- WorkflowNo ownership
- Outcome
The production path is designed around these joints. Each pillar is a control point.
THE OPERATING SYSTEM · FIVE PILLARS · SEVEN DIAGNOSTIC LENSES · ONE PRODUCTION PATH
The Agentic Readiness Framework.
Five pillars, sequenced. Each pillar has a defined owner and feeds the next. Governance and evaluation wrap the pipeline so it stays shippable in production. Seven diagnostic lenses sit behind the scoring model and roll up into this executive view.
Inputsuse cases · data access · executive sponsor · workflow owners
AI-Ready Data & Platform
The precondition for every agent. No lineage, no agent.
Human + Agent Workforce
Roles, KPIs, and review loops redrawn around agents.
Deep Agent Workflows
End-to-end workflow ownership. Not single-step copilots.
Governance & Evaluation Layer
Trusted AI
Governance embedded into every pillar above, not bolted on at procurement. ISO 42001, NIST AI RMF, EU AI Act, US state laws.
Continuous evaluation: per-step quality + cost · LLM-as-judge in CI · drift watch · weekly review.
Outputsworking agent in production · ROI baseline · observability stack · the next two pilots scoped
THE 90-DAY DELIVERABLE · WHAT YOU GET
What we deliver in ninety days.
Not a pilot, not a slide. Five concrete artifacts your team owns from the day the sprint closes.
Working agent in production
Live on your stack, owned by a named team, observable end-to-end.
Connected to real data
Lineage documented, data contracts in CI, quality budget enforced.
Measured outcomes
P&L line attached. Per-step cost and quality tracked from day one.
Clear ROI baseline
A signed-off model your CFO can defend; payback dated, not estimated.
Next two pilots defined
Sequenced, scoped, and funded. The program self-funds from here.
FINANCIAL MODEL · PILOT → PROGRAM
Calculate your agentic return.
Model the P&L impact of moving from pilots to production. Structural returns kick in around 63% workflow automation (Unframe AI) and only the top 6% of firms report >5% EBIT impact (McKinsey).
Month 0Sprint kickoff (example)Use case scoped, data access granted, sponsor aligned.
Month 3Pilot pays back (example)Working agent in production. ROI baseline signed off.
Month 9Program self-funds (example)Pilot II returns underwrite Pilot III. Compounds from there.
100 emp
30%
50%
Estimated annual savings$935,000
3-year ROI2705%
Payback period1.3 mo
Total annual savings $935KYear-1 implementation $100K one-time
PRODUCTION PATTERNS · RANKED BY OUTCOME MAGNITUDE
Where agents actually ship.
Patterns from production deployments, ranked by the magnitude of the headline outcome and tagged with the conditions that make the pattern work. Bars are illustrative ranges from comparable engagements, not customer-specific results.
Healthcare
Clinical operations and patient-ops agents with HIPAA-aligned guardrails.
Telecom & Infrastructure
IT ops and field-ops agents with 30-50% MTTR reduction targets.
Financial Services
Agentic risk, fraud, and back-office with human-in-the-loop governance.
Retail & Commerce
Agentic commerce, merchandising, and store-ops at mid-market economics.
Public Sector & Education
Sovereign AI deployments with transparency and human oversight built in.
Media & Entertainment
Agentic content operations, rights workflows, and audience intelligence.
Proven: pattern we ship in production todayEmerging: active engagements, fewer reps
PARTNER OF NOTE · SALESFORCE · AGENTFORCE
Certified Salesforce implementation partner. We ship Agentforce, Data Cloud, and Einstein deployments on a 90-day production sprint. Read the Agentforce feature
THE PRACTICE · FIVE FEATURES
Each pillar of the practice carries its own feature page (strategy, data, workforce, agents, governance) with the live interactive figures the discipline deserves. Read the contents
ENGAGEMENT PATH · THREE STAGES
Start where you are.
One pilots-to-production system, three structured entry points. Pick the stage that matches yours; each stage has defined inputs and defined outputs.
Assessment2 weeksScore
Sprint90 daysPrototype in production
ProgramOngoingScale
- 2 weeks
Agentic Readiness Assessment
Baseline + gaps across five pillars with seven diagnostic lenses, mapped to ISO 42001 and NIST AI RMF.
- Input
- Org context, top five candidate use cases, stakeholder access.
- Output
- Scored five-pillar baseline, prioritized production path, dated next-step plan.
- 90 days
90-Day Production Sprint
A working agent in production: outcome-based pricing, senior engineers, partner co-funding attached.
- Input
- One named use case, data access, an executive sponsor and a workflow owner.
- Output
- Working agent in production, ROI baseline, observability, the next two pilots scoped.
- Ongoing
Enterprise Agentic Program
Multi-quarter industrialization for Fortune 500 scale. Agent factory, governance, FinOps.
- Input
- Validated patterns, governance posture, executive air cover for cross-team rollout.
- Output
- Agent factory, governance program, observability stack, FinOps controls, multi-team adoption.