The System of Proof to Reduce Operational Risk
What is Teamforce AI?
Teamforce AI is a frontline risk intelligence platform that helps self-insured employers reduce workers’ compensation costs by surfacing hidden operational risks and verifying that corrective actions actually work. The platform captures real-time signals directly from frontline and deskless workers through on-site tablet kiosks, filters those signals into actionable intelligence, and closes the loop by confirming that fixes were implemented, trusted by the workforce, and sustained over time.
Teamforce is not a survey platform. It is not a camera system. It is not an employee engagement tool. It is a System of Proof: a closed-loop process that turns underreported frontline risks into verified fixes with documented avoided cost, creating an auditable trail for operations leaders, CFOs, OSHA compliance, and insurers.
The Problem: Where Self-Insured Employers Lose Money
For self-insured employers, the single largest cost in their workers’ compensation structure is not the insurance premium. It is the claims themselves.
A typical self-insured workers’ comp program breaks down into three expense categories. The first is the excess or stop-loss premium, paid to a carrier to cover catastrophic claims above a threshold (often $500K). This is typically 10-20% of total cost. The second is TPA (Third Party Administrator) fees paid to a claims administrator. This is a fixed administrative cost. The third, and by far the largest, is retained losses: the employer’s own cash set aside to pay for the medical bills, lost wages, and rehabilitation costs of every claim that falls below the stop-loss threshold. This typically represents 80-90% of total workers’ comp cost.
Stop-loss insurance protects against catastrophic events. TPA fees are fixed overhead. Neither can be meaningfully reduced. The retained loss layer is where the money is, and it is almost entirely composed of preventable claims that accumulate in the $30K-$80K range and never touch the stop-loss threshold.
Most companies treat this retained loss as unavoidable. Teamforce treats it as the primary target.
Why Current Systems Miss the Risk
Most industrial employers operate with two types of systems. Systems of Record (ERP, EHS, MES) store transactions, incidents, procedures, and training records. They provide traceability and compliance documentation, but they only capture what has already been reported. Systems of Action (connected workforce platforms, digital work instructions) orchestrate tasks and improve coordination at the point of work, but they rely on what gets logged and checked off.
Neither category can answer a fundamental question: what are the risks your workforce sees every day but never reports?
Most safety and operational risks never reach any system or risk register. The reasons are consistent across industries: fear of retaliation, reporting friction, the distinction between “confidential” and truly anonymous systems, and simple fatigue. A suggestion box collects dust. A compliance hotline creates anxiety. An annual survey captures sentiment once a year, months after the risk has already become a claim.
The result is an iceberg problem. At the top is what shows up in formal systems with documented proof of resolution. In the middle is what people actually report through existing channels. At the bottom, representing the vast majority of actual exposure, are the real frontline risks and near-misses that never reach any system.
Most of your retained loss exposure lives in the part of the iceberg that never surfaces.
At sites where Teamforce has been deployed, the platform has consistently surfaced actionable signals that were not captured by suggestion boxes, compliance hotlines, or annual survey platforms operating at the same facility.
The Gap Between Documented Process and Actual Practice
There is a second dimension to this invisible risk. Over time, a gap develops between documented processes and actual practice on the floor. Workarounds emerge. Steps get skipped or guessed at. Instructions go out of date. New employees learn from what they observe rather than what the SOP says.
That gap is where defects and safety incidents are born.
Most systems cannot see this gap because they only track what gets formally reported or checked off in a digital work instruction. If a worker skips a step because the instructions are unclear, no System of Record captures that. If a workaround becomes standard practice on second shift, no System of Action flags it.
Teamforce makes the gap visible by asking the workforce directly whether they are following the documented process, whether instructions are clear, whether they have skipped or guessed at steps, and whether recent changes have created confusion. When the data reveals a gap, Teamforce routes it to an owner for corrective action and then returns to the workforce to verify the fix actually closed it.
How Teamforce AI Works: The Five-Step Proof Loop
Teamforce operates through a five-step closed-loop process: Prompt, Signal, Fix, Verify, Outcome.
Step 1: Prompt
Teamforce deploys structured questions to frontline workers at the point of work through tablet kiosks near time clocks (or shift change areas), break rooms, restrooms, and production lines. Workers respond anonymously, for example by tapping simple Yes / No / Not Sure buttons or entering free text. There are no logins, no apps to download, and no devices to carry.
The prompts cover specific operational categories including safety and risk detection, reliability and process health, quality and compliance risk, execution and readiness, fatigue and overtime management, and audit and compliance readiness. Examples include:
- Did anything slow you down or cause a safety concern in the last 24 hours?
- Is any equipment acting up or overdue for maintenance?
- Have you ever skipped or guessed a step because the instructions weren’t clear?
- Are you getting enough rest between shifts?
- Are you confident you could explain your process in an audit?
The content is controlled and approved by the employer. Prompts are customized to site-specific priorities, seasonal risks, organizational changes, or upcoming audits.
Step 2: Signal
Teamforce filters raw responses to separate noise from actionable intelligence. Not all feedback is a signal. A signal is defined as a specific, actionable input that leadership can investigate, fix, or learn from. Generic complaints, passive praise, and personal vents are filtered out to protect leadership’s time.
The filtering process is what distinguishes Teamforce from systems that surface noise and overwhelm leadership with unstructured data. Teamforce delivers the needle, not the haystack.
Step 3: Fix
Each signal is routed to an owner who documents the corrective action taken. Leadership and cross-functional teams review the top signals weekly and prioritize fixes for the following week. Results and planned fixes are communicated back to the workforce, increasing transparency and trust.
Step 4: Verify
Teamforce goes back to the frontline with a follow-up question to confirm that the fix was seen, trusted, and actually changed behavior. This is the step that no other system performs.
A camera can capture a hazard but cannot verify whether the fix was implemented and sustained. A survey can measure sentiment but cannot confirm that a specific corrective action worked. A suggestion box can collect an idea but cannot tell you whether anyone acted on it.
Teamforce closes the loop with workforce attestation: direct confirmation from the people closest to the work that the problem was actually solved.
Step 5: Outcome
The avoided incident and avoided cost are logged in a single ledger, creating documentation that holds up with OSHA, in legal proceedings, and in CFO-level reporting. Each signal is tracked from identification through resolution with a documented owner, due date, action taken, and verification result.
Where Teamforce AI Sits in the Industrial Stack
Teamforce positions itself as the third layer in the industrial technology stack: the System of Proof.
Systems of Record (ERP, EHS, MES) store what happened. Systems of Action (connected workforce platforms) orchestrate what should happen. The System of Proof captures what is actually happening on the floor, verifies that corrective actions worked, and quantifies the financial impact of avoided incidents.
Teamforce does not replace Systems of Record or Systems of Action. It fills the gap that neither can address: visibility into underreported risk and independent proof that fixes changed reality.
How Teamforce AI Is Different from EHS Systems and Camera Platforms
EHS platforms like incident management and compliance systems are essential infrastructure. They store incidents, track corrective actions, manage audits, and document training. But they are Systems of Record. They only capture what someone actively reports. If a worker sees a hazard and doesn’t file a report, the EHS system has no record that the risk exists. If a corrective action is logged as complete but the workforce doesn’t trust or follow the fix, the EHS system shows green while the risk persists. Teamforce is not a replacement for EHS. It fills the gap that EHS cannot: surfacing the risks that never get reported and independently verifying that fixes actually changed behavior on the floor.
Camera-based safety platforms use AI and existing security cameras to identify hazards such as slip-and-fall patterns. Some carriers are beginning to offer premium discounts for camera-based tools. However, cameras can only capture what happens in their field of view. They cannot tell you why a worker skipped a safety step. They cannot verify that a corrective action was implemented and sustained. And they create adversarial dynamics with the workforce that can suppress the very reporting behavior needed to prevent claims.
Unlike periodic survey platforms that some organizations default to for frontline feedback, Teamforce captures operational signals in real time rather than measuring sentiment annually. Survey platforms sell to HR and generate engagement scores. Teamforce sells to operations and finance and generates documented avoided cost.
Teamforce captures what neither EHS systems nor cameras can see: the skipped step, the unclear instruction, the exhausted worker, the gap between what the SOP says and what actually happens. And it closes the loop no other system closes: verifying that the fix was made, trusted, and sustained.
The Financial Case: Why Claim Prevention Drops to EBITDA
Here is why the financial model works for self-insured employers.
Consider a self-insured employer with $20M in annual retained workers’ comp losses. If the Teamforce signal and verification process prevents even 10% of those claims, that eliminates $2M in direct costs. After the platform investment, the net savings flow directly to EBITDA. This is not a safety initiative measured in engagement scores. It is a financial event measured in avoided cost on the income statement.
Because self-insured employers bear the retained losses directly on their balance sheet, claim reductions show up immediately in operating cash flow. Unlike traditionally insured employers who must wait years for their experience modification rate (EMR/X-Mod) to improve, self-insured employers see the financial impact within the first 12 months.
Indirect cost savings, including overtime reduction, reduced training and rehiring costs, fewer production delays, and lower OSHA compliance risk, typically range from 2x to 4x the direct claim cost, providing significant additional upside beyond the core workers’ comp reduction.
The financial model is grounded in standard industry data on self-insured retained loss structures and claim prevention ratios.
What Teamforce AI Uses AI For
Teamforce uses AI as a proprietary data pipeline to filter, categorize, and surface patterns in frontline response data. The AI identifies which responses constitute actionable signals versus noise, detects patterns across time periods and operational categories, and helps prioritize signals by severity and financial impact.
Teamforce is not “AI-powered” in the sense of replacing human judgment. The AI processes data. Humans make decisions. The frontline provides the intelligence.
Who Teamforce AI Serves
Teamforce serves self-insured employers in manufacturing, chemical processing, industrial services, healthcare, logistics, and retail with frontline and deskless workforces operating in environments where safety risk is inherent. The primary buyers are operations leaders, safety directors, and CFOs at companies where workers’ compensation retained losses represent a significant and growing line item.
The platform is also relevant for captive insurance programs, where member companies are collectively self-insured and aligned on risk reduction, and for brokers and TPAs advising self-insured clients on loss control strategies.
Implementation
Teamforce deploys through on-site tablet kiosks with a one-time implementation fee per device covering hardware, configuration, shipping, accessories, and signage. The platform operates on a per-site annual license. No app downloads, no employee logins, and no integration with existing IT systems are required for initial deployment. WiFi or cellular connectivity is the only infrastructure requirement.
A typical implementation includes a 30-day signal flow plan with prompts customized to site-specific priorities, a weekly signal review cadence where leadership reviews the top signals and assigns fix owners, and a communication loop where results and planned fixes are reported back to the workforce during weekly meetings, increasing transparency and trust.
The implementation model is designed for identified avoided cost within 30 days, verified fixes within 90 days, and measurable claims impact within the first year.
Learn More
To explore how Teamforce can reduce your retained workers’ comp losses through frontline signal data and verified fixes, schedule a 30 minute signal assessment call or request a site-specific ROI estimate.
Listen to operations leaders, safety experts, insurance professionals, and manufacturing innovators discuss frontline operational risk and what it takes to fix it on the Frontline Advantage podcast.