How we work
A practical, human-centered approach to AI adoption
Our philosophy
Technology serves people, not the other way around. We focus on making AI work for your team and your business reality.
Reality first
We start with how your business actually works today — not how we think it should work. Every recommendation is grounded in your specific workflows, constraints, and capabilities.
People over technology
The best AI implementation is the one your team actually uses. We design for adoption, not just functionality. If it's too complex or doesn't fit naturally, it won't stick.
Progress over perfection
Small improvements that work are better than ambitious plans that don't get implemented. We build momentum with quick wins before tackling bigger challenges.
Our process
Listen and understand
We spend time learning your business — talking to your team, observing your processes, understanding your challenges. No assumptions, just reality.
- Team interviews and workflow observation
- Pain point identification
- Current technology assessment
- Goal clarification and priority setting
Analyze and prioritize
We identify where AI can have the biggest impact with the least disruption. Focus on opportunities that build confidence and demonstrate value quickly.
- Opportunity mapping and ROI estimation
- Implementation difficulty assessment
- Risk analysis and mitigation planning
- Roadmap creation with clear priorities
Implement and adapt
We work alongside your team to implement solutions, testing and refining as we go. Real-world feedback shapes the final result.
- Pilot testing with small groups
- Iterative refinement based on feedback
- Integration with existing systems
- Documentation and knowledge transfer
Train and transfer
We ensure your team owns the solution. Training, documentation, and ongoing support until you're fully independent.
- Hands-on training sessions
- Internal champion development
- Process documentation and SOPs
- Gradual support reduction
What guides us
Honest assessment
If AI isn't the right solution, we'll tell you. If you're not ready, we'll tell you that too. Our reputation depends on giving you straight answers, not selling you services.
No vendor lock-in
We don't sell software or take commissions. Our only incentive is finding what works best for your situation — even if that means free tools or delaying implementation.
Sustainable adoption
Quick fixes don't last. We focus on building internal capabilities and processes that will serve you long after our engagement ends.
Measurable results
Every recommendation comes with clear success metrics. We track progress and adjust our approach based on what's actually working in practice.
How this is different
Most AI consultants focus on the technology. We focus on the humans using it.
Traditional approach
- Technology-first recommendations
- One-size-fits-all solutions
- Complex implementations
- Training as an afterthought
- Success measured by features deployed
Our approach
- Business reality-first assessment
- Custom solutions for your context
- Simple, adoptable implementations
- Change management from day one
- Success measured by actual usage and impact
What to expect
Weeks 1-2: Discovery
Deep dive into your operations, team interviews, process mapping, opportunity identification.
Weeks 3-4: Strategy
Analysis, roadmap creation, tool evaluation, implementation planning, stakeholder alignment.
Weeks 5-12: Implementation
Pilot testing, iterative deployment, team training, process integration, performance monitoring.
Ongoing: Optimization
Continuous improvement, new opportunity evaluation, expanded implementation, internal capability building.