Enterprise Services
Accelerate your AI outcomes with Advisory, AI Engineering, and FinOps services
Strategic guidance to align AI investments with business outcomes
Our Advisory practice helps you build a sustainable AI operating model—from initial strategy through governance and organizational change management.
What we deliver
Design, build, and optimize production-ready AI workflows
Our AI Engineering team works alongside yours to build robust, production-grade AI systems with clear KPIs, automated evaluations, and continuous optimization.
Key outcomes
Data-driven cost control with guardrails and continuous optimization
Our FinOps practice helps you understand, control, and optimize AI spending across all providers with clear visibility, automated guardrails, and monthly review cadence.
Key outcomes
Every engagement instrumented with the NotionAlpha Clarity platform
All engagements leverage real-time telemetry, automated evaluations, cost tracking, and governance policies built into the platform—creating a measurable path to value and expansion.
Accelerator
2-4 weeks
Rapid assessment and roadmap for specific use case
Pilot
8-12 weeks
Build and validate production-ready POC with clear success metrics
Retainer
Ongoing
Dedicated pod for continuous optimization and expansion
Strategic guidance to align AI investments with business outcomes
Our Advisory practice helps you build a sustainable AI operating model—from initial strategy through governance and organizational change management.
Ideal for
Organizations launching or scaling AI initiatives, teams needing governance and risk management frameworks, and executives seeking strategic guidance on AI investments.
Design, build, and optimize production-ready AI workflows
Our AI Engineering team works alongside yours to build robust, production-grade AI systems with clear KPIs, automated evaluations, and continuous optimization.
Ideal for
Teams building production AI features, organizations needing LLMOps and evaluation infrastructure, and companies optimizing existing AI workflows for quality and cost.
Data-driven cost control with guardrails and continuous optimization
Our FinOps practice helps you understand, control, and optimize AI spending across all providers with clear visibility, automated guardrails, and monthly review cadence.
Ideal for
Organizations with growing AI spend across multiple providers, teams needing cost visibility and allocation, and companies seeking measurable cost reduction without quality loss.
We measure success with clear, quantifiable KPIs
Time-to-First-Value
< 4 weeks
Time from kickoff to first measurable outcome
Task Success Rate
> 90%
% of tasks meeting acceptance criteria
Cost per Successful Task
Reduced
Measurable reduction vs. baseline at equal/greater quality
P95 Latency
< 2s
95th percentile response time for critical flows
Evaluation Coverage
> 80%
% of critical flows with automated tests
Adoption
> 75%
Active users/teams using platform features
Our services team is here to help you maximize the value of your AI investments.
Contact [email protected]