Roadmap to AI adoption.
We assess your workflows, identify the highest-ROI AI opportunities, and design the rollout plan — team, vendors, timeline, success metrics.
What we do
Diagnosis, strategy, implementation and support. We cover the full AI cycle for businesses.
Discovery
- Process audit
- Mapped AI opportunities
- Business case
- Prioritized quick wins
Roadmap
- 90/180/360-day plan
- AI architecture
- Costs and timeline
- Governance and privacy
Implementation
- RAG + vector stores
- Agents with function calling
- Fine-tuning / evals
- Multi-provider routing
Measurement
- Adoption KPIs
- Usage analytics
- Prompt A/B testing
- Cost tracking
From diagnosis to impact in 90 days
APEX AI Framework methodology — clear deliverables per phase and shared ownership.
- Audit (2 weeks)
Interviews, process mapping, data analysis, benchmarks.
- Roadmap (2 weeks)
Prioritization, target architecture, quantified business case.
- Build (6-10 weeks)
End-to-end implementation of the first use case, with metrics.
- Handoff + Measure
Training, documentation, adoption and ROI dashboards.
Agents that act, not just answer.
Function calling, persistent memory and access to your systems. A useful AI agent is one that can execute, not just chat.
- RAG with your documents and knowledge base
- Function calling to internal APIs (CRM, ERP, tickets)
- Multi-step with automatic planning
- Evals + guardrails + fallbacks
- Observability for every tool call
The best model for every task.
We don't tie you to a single provider. Architecture that routes to the optimal model by use case and cost.
- OpenAI + Claude + Gemini integrated
- Internal abstraction layer (provider swap without refactoring)
- Routing by complexity and latency
- Costs monitored per feature and per user
Questions about AI
Let's talk about your AI use case
30 minutes, free. We analyze your needs and show you 3 quick wins achievable in 30 days.