Ensure You Have the Capabilities to Win with GenAI
Mature Your Foundational
GenAI Capabilities
Coming in Q1 2026
The enterprise-grade foundation you need to scale GenAI with speed, reliability, and control
Move from one-off pilots and fragmented tooling to standardized, reusable capabilities—so teams can deliver high-quality GenAI experiences faster, with fewer surprises in production.
To win, you’ll need repeatable foundations for data readiness, model selection, orchestration, UX, evaluation, and LLMOps—built once and reused across the enterprise.
The Challenge
Most organizations are investing in GenAI—but foundational capabilities are often inconsistent, duplicated across teams, and not designed for production scale. As adoption accelerates, leaders face questions like:
- Is our enterprise data truly GenAI-ready? (Governed, secure, high-quality, and optimized for retrieval/grounding.)
- Can we evaluate, select, and orchestrate LLMs with confidence—across use cases and vendors? (Accuracy, safety, latency, cost, and compliance.)
- Do we have the operating disciplines to run GenAI in production? (Enterprise UX standards, continuous evaluation, and LLMOps practices.)
If you don’t mature these foundational capabilities, scaling GenAI will remain slow and fragile—driven by bespoke implementations, inconsistent quality, rising cost, and elevated risk.
Our Solution
An integrated capability-maturation engagement designed to build and operationalize the foundational GenAI capabilities your teams can reuse across use cases.
- Leadership Workshops — Align leaders on target-state foundations, decision principles, and investment priorities across data, platform, and operations.
- Targeted Scans & Whitepapers — Rapid, decision-oriented research on leading patterns and emerging best practices (e.g., orchestration, evaluation, and LLMOps).
- Detailed Assessments & Acceleration Guides — Baseline current maturity, identify gaps, and translate findings into prioritized, capability-specific actions.
- Capability Design & Implementation Support — Co-design and stand up the core building blocks (reference architecture, reusable components, operating model) in your environment.
- Technical Coaching — Upskill platform and engineering teams through hands-on enablement (pairing, design reviews, implementation guidance, and playbooks).
In a focused capability sprint, you’ll move from ad hoc experimentation and duplicated point solutions to a shared, production-ready foundation that accelerates delivery and improves control.
Areas of Focus
- Ensure Your Enterprise Data is GenAI Ready
- LLM Evaluation & Selection Capabilities to Win
- Foundational Orchestration Capabilities to Win
- Operationalize Enterprise GenAI UX Design Best Practices
- Operationalize Enterprise Evaluation as a Service
- Mature Your LLM Ops Capabilities
Outcomes You Can Expect
- A foundational capability blueprint + roadmap — Target-state architecture, capability definitions, ownership model, and a prioritized plan for the next 30/60/90 days (and beyond).
- GenAI-ready enterprise data foundation — Clear requirements and patterns for governed access, retrieval/grounding readiness, data quality, and risk controls.
- Repeatable LLM evaluation and selection — Standard criteria, benchmarking approach, and decision workflow to select the right model/provider per workload.
- Scalable orchestration + UX standards — Reusable orchestration building blocks (patterns, guardrails, integration approaches) and enterprise UX practices that improve trust and consistency.
- Operationalized evaluation-as-a-service + LLMOps — Continuous evaluation pipelines, release/quality gates, observability and monitoring practices, and cost/incident controls for production operations.
This is the Solution for You, if:
- You’re moving beyond pilots and need shared foundational capabilities that multiple teams can reuse. • You need to improve quality and reduce risk through disciplined evaluation, UX guardrails, and LLMOps. • You want a practical build path (not just recommendations)—with implementation support and coaching so teams can sustain the foundation.