Fragmented tools
- Overlapping SaaS subscriptions and disconnected systems.
- Manual workflows that waste time and create errors.
- No clear picture of what you're paying for or what's working.
Technology Strategy & AI Enablement
Most companies know they're behind on technology but don't know where to start. We audit your entire tech stack, identify opportunities, and design a practical roadmap for modern tools and AI that actually ships.
Problems we solve
AI uncertainty
- "We want to use AI, but we don't know where, how, or which models."
- Fear of big, risky "digital transformation" projects that never ship.
- Unclear ROI and no prioritization framework.
Modernization paralysis
- Legacy systems holding back new capabilities.
- Teams unsure which tools to consolidate or replace.
- No roadmap for phased, low-risk improvements.
What we deliver
Tech Stack Audits
Review current systems (CRM, ERP, HRIS, marketing tools, internal apps) to identify gaps, redundancies, and opportunities.
- Complete inventory of tools, licenses, and integrations
- Cost analysis and consolidation opportunities
- Productivity impact assessment and quick-win identification
AI Opportunity Assessment
Identify high-impact workflows for AI (voice, chat, agents, RAG, internal tools) and show where AI is not a good fit yet.
- Workflow analysis and AI suitability scoring
- ROI estimation by use case (complexity, impact, risk)
- Prioritized roadmap with 2–4 week pilot cycles
Modernization & Tool Strategy
Recommend newer or better-suited tools, suggest consolidation, and map where integrations will have the biggest impact.
- Platform selection and migration planning
- Integration architecture and data flow design
- Change management and team adoption strategy
Model & Platform Strategy
Guidance on when and why to use different models (OpenAI, Anthropic, Gemini, Claude, DeepSeek, Llama, Kimi, Qwen, ElevenLabs, etc.).
- Model selection by use case (cost, latency, accuracy)
- RAG vs direct model usage architecture
- Governance, guardrails, and oversight frameworks
Typical engagements
Tech Stack Audit (2 weeks)
- Complete system inventory and cost analysis
- Integration map and data flow documentation
- Prioritized recommendations with ROI estimates
AI Readiness Assessment (3 weeks)
- Workflow analysis across departments
- AI opportunity scoring and use case prioritization
- Phased roadmap with pilot project recommendations
Modernization Roadmap (4–6 weeks)
- Current-state assessment and future-state design
- Platform selection and migration strategy
- Quarterly implementation plan with milestones