Sensors that see what humans miss
Most operations only find out what went wrong in a quarterly audit—too late. We turn yours into a live signal that prevents errors, catches them in flight, and learns from your best people.
Operations Intelligence
- Prevention—the right context loaded before work begins
- Detection—gaps flagged in flight, not in a quarterly audit
- Learning—your top performers’ methods, made standard
- One signal feeding your institutional memory—and your agents
Why It Matters
You can’t improve or automate what you can’t see
We turn your operation into a live signal—always on, always learning.
The way work actually gets done rarely matches the documented process. The judgment, the workarounds, the moments a rule was bent for a good reason. None of it is captured. So errors surface late, your best people’s methods never spread, and any agent you deploy starts blind.
The way work actually gets done rarely matches the documented process. The judgment, the workarounds, the moments a rule was bent for a good reason. None of it is captured. So errors surface late, your best people’s methods never spread, and any agent you deploy starts blind.
The should-vs-did gap
The real process is invisible
What’s in the SOP and what happens on the floor are two different things. Without sensing the real flow, every improvement is a guess.
lagging signal
We run it and own the result
A human-plus-AI workforce running the work to the numbers we stand behind, getting smarter with every decision.
trapped expertise
We build the intelligence in
Decision engines and agentic systems wired into your stack — production systems, not pilots or slideware.
WHAT WE ENGINEER
Five kinds of sensors. One live signal.
We instrument your operation five ways, fuse the streams into one signal, and feed it into your institutional memory — built on your stack, running the tools you already have.
The fused signal: We don’t leave five tools in five silos. We fuse the streams into one operations signal — and route it into your institutional memory.
The fused signal: We don’t leave five tools in five silos. We fuse the streams into one operations signal — and route it into your institutional memory.
01
Process mining
Reconstruct how work truly flows across your systems, surfacing the gap between the documented process and the real one.
02
Task mining
Capture the desktop-level steps of how the work is actually done—including the workarounds the SOP never mentions.
03
Conversation intelligence
Turn every call and chat into structured signal: intent, sentiment, compliance, and outcome—at full volume, not a 2% sample.
04
Knowledge mining
Extract the operating know-how trapped in wikis, tickets, and email threads into knowledge your people and agents can actually use.
05
Document intelligence
Read and structure the documents your operation runs on—claims forms, mortgage packets, statements—at production accuracy.
Where the signal becomes memory
Learn about the Intelligent Context Framework
How The Signal Works For You
Always on, in three modes
Sensing isn’t a dashboard you check. It’s a loop that acts on the work, before, during, and after every interaction.
Prevention
Pre-action guidance from context and risk patterns. The right context loaded before the work begins.
“40% of claims flagged as high-risk follow the same three-step pattern.”
Agents and advisors are pre-loaded with the right context before they start.
Agents and advisors are pre-loaded with the right context before they start.
Detection
In-flight verification against the plan and required disclosures—caught live, not in a quarterly audit.
“12% of interactions are missing a required verification step.”
Flagged in the moment—before it becomes a compliance gap.
Flagged in the moment—before it becomes a compliance gap.
Learning
Closed-loop improvement from patterns, deviations, and coaching triggers—the operation gets smarter every cycle.
“Top performers resolve exceptions 3× faster using a workaround.”
The pattern is extracted and baked into the standard playbook.
The pattern is extracted and baked into the standard playbook.
proof in production
From 24 million claims of signal, ~$10M in penalties avoided
One health plan’s claims operation, instrumented end to end — the same Prevention → Detection → Learning loop, running in production.
Healthcare payer | Claims operations
Late-payment penalty prevention
A top US health plan. Process mining + ML on claims a quarterly audit would miss—caught at adjudication, before a deadline is ever missed.
~$10M
late-payment penalties avoided in six months
~90%
delayed-claim prediction accuracy
~96%
improvement in triaging efficiency
Full-stack partner
Intelligence That Operates
Operations Intelligence rarely travels alone. It begins with a diagnostic, leans on models for the harder signal, and feeds the layers above it.
Upstream
Consulting—the process diagnostic
Most sensing engagements start with a process-intelligence diagnostic that frames where the value is—we set the target before we instrument.
Explore consulting
The models behind the signal
AI data services—the model partner
Conversation and document intelligence lean on models. We don’t pre-train or post-train them ourselves—we help you build, fine-tune, and evaluate them as your data services partner.
Explore AI data services
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Good questions to start with
Do we have to replace our existing process-mining or conversation-analytics tools?
No. We integrate and operate the platforms you already run—Celonis, Cresta, Observe.AI, UiPath and others—under Kairos, and fuse their signal into one operations intelligence layer. We build a sensor ourselves only where there isn’t a good fit.
Is this just analytics and dashboards?
No. Analytics reports on what happened. This is a closed loop that acts on the work—loading context before an interaction (prevention), flagging gaps during it (detection), and updating the standard playbook after it (learning).
Where does the signal go, and who owns it?
Into your Context Framework—your institutional memory, your IP. The intelligence compounds on your side, portable across any agent, model, or runtime you choose.
Do you build the AI models behind conversation and document intelligence?
We engineer the sensing layer and integrate the models. When a model needs to be built, fine-tuned, or evaluated, we do that as your data services partner—see AI Data Services.
How fast can we see something real?
A focused sensing slice—one process or one channel—can surface the should-vs-did gap quickly, then expand. Our forward-deployed pods start with your operations data, beside your experts.
INSIGHTS
Latest from the Firstsource team
Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
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Contact US
Scope an engagement
Tell us where you want to start—a single layer, a full operating-system build, or operating what you already run. We’ll show you where the economics change first.
- Engineer one layer, or the whole operating system
- Reengineer an existing GCC or capability center
- Operate the system to an outcome, under one contract