Services

AI consulting engagements designed for outcomes

Move from AI readiness to reliable production with governance, KPI alignment, and measurable business outcomes at every step.

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Clear scope

Timeline, deliverables, and definition of done are explicit for every service.

Production-first

Every engagement ships with quality gates, monitoring, and operational readiness.

ROI visibility

Baselines, targets, and executive readouts keep outcomes measurable and aligned.

The engagement ladder

Each service is structured to clarify value quickly, reduce implementation risk, and create durable operating capability.

10 business days

Opportunity Sprint

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A consulting-led readiness sprint that identifies highest-value AI opportunities, defines KPI baselines, and delivers an execution roadmap leadership can approve with confidence.

What you get

Prioritized list of AI opportunities with ROI estimates
Technical feasibility assessment for each opportunity
Recommended approach per use case (RAG, agents, fine-tuning, classic ML)
Baseline metrics and success criteria definition
Risk assessment and mitigation strategies

Who it's for

Organizations exploring AI for the first time
Teams with multiple potential use cases to prioritize
Decision-makers needing ROI justification and risk assessment
Companies requiring a clear implementation roadmap

What outcome to expect

Clear prioritization of opportunities with ROI justification
Feasibility assessment with technical approach recommendations
Baseline metrics established for each opportunity
Risk assessment completed with mitigation plans

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4-6 weeks

Pilot

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A focused pilot engagement that proves measurable value in a live workflow while validating governance, quality, and cost assumptions before scale.

What you get

Production-ready AI system for one use case
AI Control Tower with monitoring dashboards
Evaluation harness and regression test suite
Integration with existing systems and data sources
Rollout playbook and risk mitigation protocols

Who it's for

Organizations ready to deploy their first AI use case
Teams needing proof of concept with real users
Companies requiring production-grade implementation
Organizations wanting to validate ROI before scaling

What outcome to expect

System meets quality gates (task success rate, latency, cost targets)
AI Control Tower operational with baseline metrics
Integration successful with existing systems
Evaluation suite passing all regression tests

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6-12+ weeks

Launch

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A full production deployment program for one or more AI workflows with integration, governance controls, and executive KPI reporting.

What you get

Full production AI system with multiple use cases
AI Control Tower with executive and operator dashboards
Comprehensive evaluation and regression test suites
Complete system integration and data pipeline
Governance framework and compliance documentation

Who it's for

Organizations scaling from pilot to full deployment
Companies implementing complex, multi-use-case AI systems
Teams requiring enterprise-grade governance and compliance
Organizations needing custom model development or advanced ML

What outcome to expect

All use cases meeting quality and performance targets
Business KPIs tracking and showing improvement
Cost optimization within budget targets
Risk metrics within acceptable thresholds

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Monthly retainer

Managed AI Operations

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A managed operating model that continuously improves quality, controls cost, and keeps AI systems aligned to business outcomes and compliance requirements.

What you get

24/7 monitoring and alerting via AI Control Tower
Weekly performance reviews and optimization recommendations
Monthly executive readouts with insights and recommendations
Cost optimization (model mix, routing, caching improvements)
Quality improvements (prompt optimization, A/B testing)

Who it's for

Organizations with deployed AI systems requiring ongoing support
Teams needing continuous optimization and cost management
Companies wanting proactive monitoring and improvement
Organizations requiring expert oversight without full-time hires

What outcome to expect

System uptime and reliability meeting SLAs
Cost per task trending down or within budget
Quality metrics stable or improving
Business KPIs on track or improving

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Pricing approach

Transparent models matched to each service. Final pricing is tied to scope, data access, and integration complexity.

Opportunity Sprint

10 business days

Fixed-fee

Fixed price for the 10-day Sprint, delivered regardless of number of opportunities identified.

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Pilot

4-6 weeks

Fixed-fee

Fixed price for the 4-6 week Production Pilot, scoped to one use case.

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Launch

6-12+ weeks

Milestone-based

Pricing tied to project milestones (design approval, integration complete, launch ready). Scope determines timeline and investment.

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Managed AI Operations

Monthly retainer

Tiered retainer

Monthly retainer based on system complexity, number of use cases, and required service level. Includes monitoring, optimization, and monthly readouts.

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Ready to operationalize AI with measurable ROI and governance?

Start with a readiness discussion and receive a sample KPI framework tailored to your AI goals.

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