Seven specialized service lines, delivered through a flexible retainer model designed for how enterprises actually operate.
AI adoption is not a one-time project. It is an ongoing organizational capability. Our retainer model reflects that reality.
Rather than billing by the hour or project, we structure engagements as monthly retainers — giving you consistent, priority access to senior advisors across all service lines. Your questions don't wait for a contract amendment. Your team builds real relationships with advisors who understand your context deeply.
Systematic scoring of AI opportunities by feasibility, impact, and strategic fit — so you invest in the right bets first.
Quantitative models for expected efficiency gains, cost reduction, and revenue impact before a single line of code is written.
A board-ready AI strategy document with clear milestones, resource requirements, and decision gates at each phase.
Objective comparison of Llama, Mistral, Qwen, Gemma, and emerging models against your actual workload requirements.
When to fine-tune, when to use RAG, and when off-the-shelf is sufficient — along with a concrete fine-tuning plan when needed.
Guidance on self-hosted GPU infrastructure, vLLM, Ollama, and cost-optimal serving strategies for your scale.
React, Plan-and-Execute, Reflexion, and multi-agent orchestration — we advise on the right pattern for your complexity level.
Connecting AI agents to your existing ERP, CRM, and internal APIs — without creating fragile, unmaintainable automation.
Human oversight mechanisms, action boundaries, and audit logging designed into the architecture from the start.
Structured review of your current workflows to identify high-volume, repetitive, and decision-heavy tasks that AI can meaningfully augment.
Define baseline metrics before implementation so efficiency gains are demonstrable, not assumed.
Guidance on communicating AI workflow changes to affected teams — addressing adoption resistance early and constructively.
Evaluate AWS, GCP, Azure, and on-premise options with a clear-eyed view of cost, control, and compliance implications.
Vector stores, embedding pipelines, and retrieval systems designed for your data volume and latency requirements.
Independent evaluation of AI platform vendors — without the sales bias. We have no referral agreements with any vendor.
Acceptable use policies, model risk management frameworks, and incident response protocols tailored to your industry.
Gap analysis against EU AI Act, ISO 42001, and sector-specific AI regulations in financial services, healthcare, and manufacturing.
Structured review of your existing AI systems for bias risk, explainability gaps, and data provenance issues.
Half-day to full-day workshops for executives and senior managers — strategic AI thinking, risk literacy, and investment decision frameworks.
Hands-on training for engineering and data teams — prompt engineering, RAG implementation, LLM evaluation, and agent development fundamentals.
Bespoke training programs designed around your actual AI tooling, industry domain, and team's current capability baseline.
Every engagement is flexible across delivery modes — we work the way your team works best.
Scheduled advisory sessions, strategy reviews, and working sessions via video call — available globally across time zones.
Embedded advisory presence at your office for intensive workshops, stakeholder alignment sessions, and hands-on workflow audits.
Live virtual workshops and structured online learning sessions for teams distributed across multiple locations.
Dedicated advisor access via email and messaging for quick questions, document reviews, and ongoing guidance between sessions.
Every engagement starts with a free 30-minute discovery call to understand your goals and determine if we're the right fit.
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