Services

Productized AI engagement ladder

Move from opportunity assessment to production operations with a clear scope, fixed timelines, and defined success metrics at every rung.

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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

Start with a Sprint or jump directly into a Pilot. Each phase builds toward reliable, production-grade AI.

10 business days

AI Opportunity & Readiness Sprint

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A rapid assessment that identifies high-ROI AI opportunities, evaluates technical feasibility, and delivers a prioritized roadmap with success metrics and risk assessment.

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 we deliver

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
Implementation roadmap with timeline and resource estimates
Cost projections and vendor recommendations
Executive presentation and documentation

What we need

Access to key stakeholders (product, engineering, operations)
Business process documentation and workflows
Sample data or data schema access (anonymized acceptable)
Integration points and system architecture overview
Current pain points and success metrics
Compliance and security requirements

Success measurement

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
Actionable roadmap with timeline and resource needs

Definition of done

All identified opportunities assessed and prioritized
ROI estimates and success criteria defined
Technical approach recommended for each opportunity
Risk assessment and mitigation strategies documented
Implementation roadmap delivered with executive presentation
Client sign-off on prioritized opportunities and next steps

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4-6 weeks

Production Pilot

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A focused implementation of a single high-value use case, delivered production-ready with the AI Control Tower, evaluation suite, and operational playbooks.

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 we deliver

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
User documentation and training materials
Performance baseline and success metrics tracking
Launch readiness assessment

What we need

Prioritized use case from Sprint or defined opportunity
Data access and integration points
Subject matter experts for domain knowledge
Access to production or staging environment
User workflows and success criteria
Security and compliance requirements

Success measurement

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
User acceptance and adoption metrics on track

Definition of done

Production-ready system deployed and operational
AI Control Tower configured with all metrics
Evaluation suite passing and regression tests green
Integration tested and validated
Rollout playbook and documentation complete
Launch readiness checklist signed off
Baseline metrics established and tracking

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6-12+ weeks

Production Launch

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Full-scale implementation of multiple use cases or a complex AI system, with comprehensive integration, governance, and operational readiness.

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 we deliver

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
Custom models or advanced ML solutions (when justified)
Operational runbooks and incident response procedures
Training program for internal teams
Monthly executive readout framework

What we need

Defined scope and use cases (from Sprint or existing roadmap)
Full data access and integration requirements
Dedicated subject matter experts
Production infrastructure access
Security and compliance specifications
Stakeholder alignment on success criteria

Success measurement

All use cases meeting quality and performance targets
Business KPIs tracking and showing improvement
Cost optimization within budget targets
Risk metrics within acceptable thresholds
User adoption and satisfaction metrics on track
System reliability and uptime meeting SLAs

Definition of done

All use cases deployed and operational in production
AI Control Tower fully configured with all dashboards
Evaluation suites passing and regression prevention in place
Integration complete and validated
Governance framework implemented and documented
Operational runbooks and procedures in place
Internal team trained and transitioned
Launch readiness checklist completed
Baseline metrics established and monthly readout scheduled

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Monthly retainer

Managed AI Operations

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Ongoing monitoring, optimization, and continuous improvement of deployed AI systems, with monthly executive readouts and proactive issue resolution.

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 we deliver

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)
Regression prevention and evaluation suite maintenance
Incident response and resolution
Model and system updates as needed
Continuous improvement roadmap

What we need

Access to AI Control Tower and system dashboards
Integration with incident management systems
Stakeholder availability for monthly readouts
Access to evaluation suites and test data
Change management process for updates

Success measurement

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
Incident response time and resolution within targets
Executive satisfaction with readouts and insights

Definition of done

Monitoring and alerting operational
Weekly reviews scheduled and conducted
Monthly executive readouts delivered
Optimization recommendations implemented
Incident response procedures followed
Evaluation suites maintained and updated
Client satisfaction with service level

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Project-based

Custom Models & Advanced ML

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Custom model development, fine-tuning, or advanced machine learning solutions when off-the-shelf approaches are insufficient or cost-prohibitive.

Who it's for

Organizations with domain-specific requirements
Companies needing proprietary model development
Teams requiring fine-tuned models for cost or performance
Organizations with unique data or compliance needs

What we deliver

Custom model architecture and development
Fine-tuned models with evaluation and benchmarking
Advanced ML solutions (computer vision, personalization, etc.)
Model training pipeline and infrastructure
Evaluation framework and performance benchmarks
Deployment and integration support
Documentation and maintenance procedures

What we need

Clear justification for custom development (cost, performance, domain)
Training data and labeling requirements
Infrastructure and compute resources
Domain expertise and success criteria
Compliance and security requirements

Success measurement

Model performance meets or exceeds benchmarks
Cost per inference within target budget
Training pipeline operational and repeatable
Evaluation framework validates model quality
Deployment successful and integrated

Definition of done

Custom model developed and validated
Performance benchmarks met
Training pipeline documented and operational
Evaluation framework in place
Model deployed and integrated
Documentation and maintenance procedures complete

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Pricing approach

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

AI Opportunity & Readiness Sprint

10 business days

Fixed-fee

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

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Production Pilot

4-6 weeks

Fixed-fee

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

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Production 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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Custom Models & Advanced ML

Project-based

Custom pricing based on scope, timeline, and resource requirements. Only recommended when off-the-shelf approaches are insufficient.

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Discuss pricing

Ready to deploy AI that delivers measurable ROI?

Book a call to discuss your AI opportunities and readiness.

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