What is Teamforce AI?
Teamforce AI is the System of Proof for frontline risk. We capture the signals that suggestion boxes, hotlines, surveys, and EHS apps miss, route them to owners for corrective action, and go back to the workforce to confirm fixes actually landed. The result is evidence that an operation is getting safer, built for the people who run it, pay for it, and price its risk.
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 risk into verified fixes and documented avoided cost, creating an auditable trail for operations leaders, CFOs, OSHA compliance, and the insurers and captives that underwrite your risk.
The Problem: Where Companies That Retain Their Own Risk Lose Money
For companies that retain their own risk, whether self-insured, in a group captive, or on a high-deductible program, the largest cost in workers’ compensation is not the 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 typically ranging from $250K to $1M. 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.
If You’re in a Group Captive
In a group captive, you and your fellow members fund losses through a shared loss fund. When your losses come in below expectations, more of your premium can come back to you as dividends. When they come in above, you pay more, and the other members see it.
That makes claim frequency a direct line to your own money. Every claim avoided protects the loss fund, strengthens your dividend, and improves the experience that drives your future pricing. Teamforce gives captive members the leading indicators to act before a claim happens, and the evidence to show their captive that risk is going down.
Why Current Systems Miss the Risk
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 HR sentiment — useful for engagement, but it won’t surface the specific hazard that becomes tomorrow’s claim.
The result follows a familiar industrial-safety pattern. For every fatal injury, there are roughly ten serious injuries, thirty minor injuries, six hundred near misses, and thousands of unsafe acts and workarounds at the base. Most retained loss exposure lives in the layers your formal systems never see — the unsafe acts and near misses that predict tomorrow’s claims.
Carriers and EHS systems measure the top of the pyramid: claims that have already happened. By the time a claim shows up in the loss run, the cost is already booked.
The loss run tells you where the risk was. The frontline tells you where it is.
Retained loss is frequency times severity — but frequency is the lever employers actually control, and per the Workers’ Compensation Insurance Rating Bureau of California (WCIRB) and National Council on Compensation Insurance (NCCI) experience rating frameworks, frequency drives the X-Mod calculation more than severity. The leading indicators — the unsafe acts and near misses at the base — are what predict the next claim. They sit in the heads of frontline workers and rarely reach a corporate system.
At sites where Teamforce has been deployed, the platform has consistently surfaced actionable signals at the base of the pyramid 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?
- 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
Most systems stop at “closed.” Teamforce goes back to the frontline with a follow-up question to confirm that priority fixes were seen, trusted, and actually changed behavior.
A camera can capture a hazard but cannot confirm whether a 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: confirmation from the people closest to the work that the problem was actually solved.
Step 5: Outcome
Avoided incidents and avoided cost are logged in a single ledger. Each signal is tracked from identification through resolution with a documented owner, due date, action taken, and verification status. The result is evidence for CFO reporting, OSHA readiness, and the people who price your risk.
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 Complements 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
For organizations that retain their own risk, every avoided claim is cash that stays in the business.
As an illustration, consider a self-insured employer with $40M in annual retained workers’ comp losses. A 15% reduction would eliminate $6M in direct costs; a 20% reduction would eliminate $8M. After the platform investment, the net savings flow directly to EBITDA.
Because these organizations pay their losses directly, fewer claims show up in operating cash flow as they stop happening. Traditionally insured employers wait years for their experience modification rate (EMR/X-Mod) to reflect improvement. For captive members, lower losses also protect the shared loss fund and support dividends.
Indirect costs, including overtime, training and rehiring, production delays, and OSHA exposure, are commonly estimated at 2x to 4x the direct claim cost, adding upside beyond the core workers’ comp reduction.
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 organizations that retain their own risk: group captive members, high-deductible programs, and self-insured employers with frontline workforces. That includes manufacturing, construction, distribution, chemicals, food and beverage, pharmaceutical, automotive, and aerospace operations.
The platform works best where workers start their shift in a common place, such as a time clock, break room, or shift-change area, so the kiosk becomes part of the daily routine.
Primary buyers are Operations leadership (COO, VP Operations, Plant Manager) and Finance and Risk leadership (CFO, Treasurer, Risk Manager). Functional champions include Directors of Safety, Quality, Risk, and Compliance. Teamforce is also available through captive managers, loss control firms, brokers, and TPAs that advise organizations on reducing losses.
Implementation
Teamforce deploys through on-site tablet kiosks. Each site runs on an annual subscription priced by covered headcount, with a one-time device package covering hardware, configuration, shipping, accessories, and signage. No app downloads, no employee logins, and no integration with existing IT systems are required for initial deployment. WiFi or cellular connectivity and continuous power are the only infrastructure requirements.
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. If we do not see movement in 30 days, we stop.
Learn More
Take the Frontline Risk Study (coming late October 2026) and get a personalized benchmark showing how your frontline reporting compares with sites across the industry. It takes a few minutes, and your results stay anonymous.
Prefer to talk it through? 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 on the Frontline Advantage podcast.
Note: This post was originally published on March 13, 2026, and last updated on October 8, 2026.