Lean→AI
Lean gives AI a True North:
Technology guided by human values, ingenuity, and curiosity.
Lean-tuned AI. AI-tuned Lean.
Lean→AI
Technology guided by human values, ingenuity, and curiosity.
AI→Lean
People who see further, judge better, and understand more.
Synergy = Smarter People × Intelligent Systems
01 / Challenge
80%
say AI makes them more productive.
37%
report any impact on earnings.
Source: McKinsey, 2026
01
7%
Almost every company is experimenting with AI; only 7% have scaled it across the enterprise.
McKinsey, 202502
5%
Only 5% of organizations say their processes are ready to work with AI agents.
Deloitte, 202602 / Integration
Where AI is built in
01
Lean brings
Clear priorities and decision rights
AI brings
Faster sensing and synthesis
02
Lean brings
Standards, flow, and controls
AI brings
Reach into knowledge and transactional work
03
Lean brings
Ownership, accountability, coaching
AI brings
Coaching at scale
04
Lean brings
KPIs, cadence, structured problem solving
AI brings
Faster analysis and learning that stays
How it keeps improving
PeopleGo see the problem where it happens; set the target.
AISynthesizes data and patterns people can't gather alone.
PeopleRun the countermeasure.
AIAutomation executes the routine.
PeopleJudge the results against the target.
AIMeasures continuously and flags deviations early.
PeopleDecide, standardize, and teach.
AIKeeps the learning, so it stays when people move on.
Validation
nearly2×
the profit margins
In a McKinsey survey of 1,000 executives, companies that built AI into operations across the business earned nearly twice the profit margins of companies using it in a few departments.
McKinsey, 2026
Client Case - Dental practice.
case acceptance
A dental practice was converting 35% of proposed cases. The treatment plan wasn’t the issue; the challenge was communicating complex treatment to different patients.
Synerkia redesigned the case-presentation workflow and integrated AI to help the team understand each patient’s communication needs, prepare the presentation, and evaluate it before the conversation.
+19pts
case acceptance
~3×
total profit in 12 months
Synerkia client implementation
03 / Synergy
Intelligence finds the best answer. Smartness asks whether we’re solving the right problem.
1
When people accept AI answers without questioning them, they skip the work that builds judgment: testing assumptions, weighing alternatives, and deciding what makes sense.
Learners who leaned on unguarded AI performed 17% worse once it was gone.
Bastani et al., PNAS, 2025
2
AI can make a flawed process run faster without making it better. People must question the assumptions, validate the objective, and decide what needs to change before scaling it.
Without operational discipline, AI risks accelerating existing inefficiencies at scale.
MIT Technology Review Insights, 2026 · Sponsored by TP
3
AI can compare options and surface trade-offs. People must decide which outcomes matter, which consequences are acceptable, and who answers for the result. Delegating analysis does not transfer responsibility.
Fewer than half of organizations have defined how people and AI agents share decisions, intervention, and accountability.
Deloitte Insights, 2026
That's how synergy is created:
Smarter People × Intelligent Systems
75%
of leaders say people working with AI create more value than automation alone.
Deloitte, 2026
04 / About
Julio C. Brindis
He designs and deploys the systems that make organizations perform. At Fender, Meggitt, and Viatris, he led operations and Operational Excellence across the US and Mexico.
Through a two-year mentorship with Hajime Oba, he trained in the Toyota Production System and extended Lean into transactional and knowledge work.
An engineer by training, he now designs how AI is built into operations. As founder of Synerkia, he makes intelligent systems part of how organizations work, decide, and improve, so they strengthen human capability instead of replacing it.
05 / Start here
4–6 weeks · fixed fee
You leave with
Where you stand: your operating reality and AI readiness.
What matters most: the top 3 opportunities, ranked by value, feasibility, and risk.
Where to start: one pilot, framed: the problem, the target, and what success looks like.
The findings: a written report, presented to your leadership team.
How it works
Week 1
Goals, scope, data
Weeks 2–3
Observation, interviews, data
Weeks 4–5
Gaps, priorities
Week 6
Findings session
We use governed AI in the Diagnostic itself, so you see the approach working on your own operation before you decide anything.
Diagnostic → Pilot → Scale → Sustain.
Each stage earns the next.
Forty-five minutes to understand your situation and decide whether a Diagnostic makes sense.
Or write directly: info@synerkia.com