How $100M+ in execution drag became credibly measurable.
Most industrial leaders know something is dragging their margins down.
Very few can put a defensible price tag on it.
Navetra™ was built to do exactly that.
Since the early days of industrial operations, leaders have shared the same quiet frustration:
“Something in our system is slowing us down — but we can’t quantify it.”
Across asset-heavy and mission-critical sectors — energy and power, construction, manufacturing, and related biosciences — the pattern has been the same:
Margins don’t usually collapse because of one dramatic event. They erode through small, compounding breakdowns in how people, processes, and technology actually work together — breakdowns leaders can feel, but could never price.
Navetra™ was built to change that.
After our first 25 industrial assessments across Energy, Construction, Manufacturing, and Biosciences, one finding was unmistakable:
Across those assessments, we estimated that, in aggregate, these organizations were carrying over $100M in potential execution-driven margin risk — exposure that remained invisible to ERP, BI, HR, and standard operational reporting.
In practical terms, that meant:
stalled decisions and misalignment finally getting a dollar tag
vacancy drag and hiring delays sized in real money, not just days
silos and handoff failures shown to cost more than scrap or overtime
This isn’t about replacing people with AI. It’s about protecting high-value industrial jobs by removing waste, reducing failure demand, and giving leaders a way to compete on execution — not burnout; on context — not hype or trends.
The same logic is now being applied to AI adoption: helping leaders decide where AI actually belongs in the value chain, what it should fix, and how to prove its impact in dollar terms.
In Canada, Navetra™ is being shaped and stress-tested through programs and support from innovation, IP, AI, and entrepreneurship organizations. Market and technical insight helps challenge and refine the reasonableness of our ranges and bands, while IP specialists help keep the core engine and methods proprietary and anchored in Ontario.
All of the “secret sauce” stays under the hood. What leaders see is a clear, CFO-ready story.
From “people problems” to priced execution risk
Most tools look at one slice of the system:
ERP tells you what happened.
BI shows patterns in your data.
HR systems track people metrics.
Navetra™ adds a missing layer:
A priced, risk-adjusted view of execution capacity — and the real cost of human-system drag.
On the surface, leaders get:
a defended dollar range of execution-driven margin risk, by domain, plant, or business unit
clarity on which of ten execution domains are doing the most damage
a focused 90-day decision slate (typically 6–10 moves) across AI, people, and process that are most likely to recover margin
always-on agents designed to keep a live eye on stalled work, slow decisions, risk signals, and talent gaps between reviews
Behind the UI, a proprietary AI + rules engine converts a small, targeted set of signals into risk-priced insights. The detailed formulas, parameters, and calibration logic are not disclosed; they remain Navetra™ IP.
The disciplines under the hood (at a level we’re comfortable sharing)
Navetra™ is not an engagement survey, culture dashboard, or generic AI bot. It’s a performance intelligence system that combines three broad bodies of knowledge — in a way that stays proprietary.
1. Human and organizational performance in complex systems
Modern work on human performance and organizational reliability — especially in safety-critical and asset-heavy environments — reinforces a few simple truths:
People are naturally fallible; systems must be designed with that reality in mind.
Punishing individuals rarely fixes the conditions that led to errors.
Local context and constraints strongly shape behaviour.
Learning loops and feedback matter more than one-off interventions.
How leaders respond to disruption influences future stability.
Navetra™ uses these ideas to examine ten domains of execution drag, including:
leadership signals and alignment
cross-functional flow and handoffs
hiring friction and talent readiness
knowledge fragility and dependency on “single points of failure”
decision velocity, risk practices, and the psychological stability of work
Each domain is tied to productivity, output, and margin risk through Navetra’s own weighting and translation logic. Those details remain inside the engine.
2. Behaviour change that actually sticks (without name-checking frameworks)
Insight without behaviour change is theatre.
Rather than lean on any one branded change framework, Navetra™ uses a simple, common-sense sequence:
People need to understand why change matters.
They need a real reason to care, not just compliance.
They need enough skill and practice to work differently.
The system needs to reinforce the new way of working over time.
In practice, that shows up as:
near-term 90-day action plans
3–12 month roadmaps for more structural work
reinforcement patterns that fit how plants, projects, and portfolios are already run
Whether the move is leadership, process, or AI-enabled, Navetra™ is designed so that understanding, motivation, capability, and reinforcement are built into the way work is re-designed — without exposing or copying any proprietary change methodology.
3. Risk thinking adapted from highly regulated industries
In high-hazard sectors, risk is often assessed by considering:
how severe an outcome could be, and
how often it is likely to occur.
Navetra™ applies that mindset to human-system variability and execution drag.
Instead of publishing formulas, we give leaders what they actually need:
a priced execution-risk range by domain, not a single fragile point estimate
clear colour bands that can sit naturally beside the P&L and risk register
confidence that the view has been tested against a broad set of real-world scenarios
The way we interpret inputs, scale impact, and aggregate exposure is treated as part of Navetra’s protected IP. Specific domain definitions, scoring thresholds, and aggregation methods are treated as confidential trade secrets and are not disclosed in client-facing materials.
Inside the Navetra™ engine (what we actually show)
On your side of the screen, Navetra™ follows a simple flow that mirrors how you already run the business.
Step 1: Capture the signals
Short leadership inputs plus a small set of indicators such as scrap, rework, overtime, vacancy, and attrition. Navetra™ treats these as signals only; your detailed data, culture, and formulas stay inside your own systems.
Step 2: Predict & price execution risk
The proprietary AI + rules engine converts those signals into a defended, priced execution-risk range across ten domains, with bands that sit naturally beside your P&L and risk register rather than as another abstract score.
Step 3: Focus AI & fixes
That view becomes a prioritized 90-day slate and a clear “where to aim AI” map, so leaders can choose a small number of moves with directional financial impact — aligned to how your teams already work.
Step 4: Continuous decision assistance
Between reviews, persistent agents watch for new signs of drag — stalled work, slowed decisions, training needs, hiring delays, unmanaged risk — and route concise prompts to the right owners. What happens this quarter feeds the next prediction cycle, strengthening the engine over time.
Everything you see can be traced back to your own signals, the domain it sits in, and the assumptions at the decision-making level. The deeper engine logic — including how those signals are combined and calibrated — remains proprietary.
What the first 25 Navetra™ runs revealed
Across the first 25 assessments in Energy, Construction, Manufacturing, and Biosciences, the patterns were consistent with what many leaders suspected — but had never seen priced in dollars.
1. Leadership alignment is a top predictor of margin health
Small misalignments at the top translated into large downstream losses.
When decision-makers drifted — on priorities, risk appetite, or resource allocation — execution drag surfaced as delayed initiatives, rework, and firefighting. Navetra™ turned this drift into a visible, priced risk band instead of leaving it under “soft issues.”
2. Hiring friction is quietly costing thousands per day
Connecting vacancy duration, role criticality, and output dependency showed that vacancy drag for specialized technical roles can easily add up to thousands of dollars per day in lost value.
Vacancy isn’t just an HR metric. It’s a compounding financial event.
3. Silos cost more than scrap, downtime, or overtime
In many of the organizations we assessed, the most costly hidden losses did not come from scrap or overtime. They came from flow breakdowns between functions such as:
engineering ↔ operations
sales ↔ production
procurement ↔ finance
The most expensive waste wasn’t physical. It was human-system friction — particularly where teams were rewarded for local optimization instead of shared outcomes.
This is also where poorly designed AI deployments do the most harm: automating handoffs in already misaligned systems. Navetra™ helps leaders see those fault lines before they digitize them.
4. Knowledge fragility is a critical stability risk
Many firms were heavily dependent on one or two individuals in critical roles.
Sizing the exposure associated with losing those individuals — through retirement, burnout, or competitive pull — showed that the impact on output and margin could be severe. In sectors where staffing sufficiency is already a concern, the economic side of that risk is often under-priced. Navetra™ makes it visible.
5. Human-system variability is silently eating into margins
Across sectors, human-system variability — misaligned incentives, inconsistent risk practices, patchy onboarding, and local workarounds — was eroding a material share of margins.
Organizational drag is not random. It’s patterned, and it’s measurable.
Navetra™ doesn’t claim perfect prediction. It gives leaders a credible range built on real-world patterns, so they can pick a decision number and run a 90-day plan with confidence.
Ranges and estimates are indicative and depend on your data and context; the underlying engine and methods remain proprietary. These outputs are decision-support estimates, not audited financial statements, and they do not constitute financial, legal, or investment advice.
Developed and stress-tested in Canada’s innovation ecosystem
Navetra™ is being shaped with support from innovation, IP, AI, and entrepreneurship partners across Ontario and Canada — including provincial programs, AI institutes, universities, and accelerators already listed on the Navetra™ page.
That ecosystem support helps us to:
keep our IP protected and anchored in Ontario
challenge our assumptions and ranges with independent market and technical insight
align our AI and ML approaches with current best practice
The engine itself remains proprietary to JTS Inc. What the ecosystem strengthens is the robustness, governance, and practicality of how Navetra™ shows up for leaders.
A new category: organizational performance intelligence & AI co-pilot
In a world where AI is moving into every corner of operations, Navetra™ acts as an execution & AI co-pilot for margin:
pricing execution drag in dollars
pointing AI, people, and process decisions at the few moves that actually matter
keeping an ongoing watch on execution between formal reviews
For industrial leaders, this creates a standing, financially grounded lens on:
where they are carrying more execution risk than they realize
which decisions should come first in the next 90 days
where AI genuinely belongs in the value chain — and where it will only add noise
Closing thought & how to explore your own risk band
Industrial leaders rarely fail for lack of strategy. They struggle because they lack visibility into the execution drag that slows everything down — and, increasingly, into where AI will help versus where it will quietly amplify existing problems.
Navetra™ gives you:
a priced view of execution-driven margin risk
a focused quarterly slate of moves
persistent agents that help keep execution on track
Your greatest margin risk isn’t mechanical. It’s embedded in how your organization actually executes — and now, that risk can be quantified and acted on, without disclosing your sensitive data or our proprietary methods.
If you’d like to see what Navetra™ might surface inside your organization, portfolio, or region, you can:
start a (FREE) basic Navetra™ execution-risk scan (about 2–3 minutes across core domains), or
talk directly with the Purple Wins™ team about a focused Navetra™ deployment.
Turn invisible, people-driven drag into a clear, defensible financial story — and start recovering margin this quarter, not “someday.”
