Field record · 2024–2026

Ten industries.
One operating model.

Every engagement below shipped the same way — diagnosis, a governed pilot in shadow mode, then autonomous operation with a full audit trail. No rip-and-replace. No black box. These are the results our clients were willing to put a number on.

10 Verticals engaged, from logistics to capital markets
$140M+ Combined annual value created or protected
6–11wk Typical span from diagnosis to production agents
0 Engagements that shipped without a human escalation path

01 / 10

Logistics · Global 3PL

A 40-hub freight network stopped dispatching by hand.

The dispatch desk was the bottleneck for a company that moved freight for a living — three shifts of planners, a whiteboard of exceptions, and a hard ceiling on how many loads a human could re-route per hour.

Orchestration layer Real-time TMS integration HITL escalation Audit trail

−72%

Dispatch handling time

40hubs

Live on the agent network

24/7

Autonomous re-routing coverage

The situation

Load volume had outgrown the planning desk. Every weather delay, driver no-show or dock backup meant a planner manually re-solving a puzzle that changed by the minute — and the business had already hired as many planners as the market would supply.

The system

An agentic dispatch layer now reads live telematics, dock and driver-hours data, plans assignments, and re-routes around disruptions before a human notices them. Every decision writes to an immutable log with the inputs it saw and the alternative it rejected. Anything outside policy — a load over a value threshold, a lane the model hasn't seen — escalates to a planner instead of executing blind.

The result

Dispatch handling time fell 72% within six months. The planning team shrank through attrition, not layoffs, and now spends its time on carrier negotiation instead of whiteboard triage. On-time delivery improved alongside the cost savings — the agents don't get tired at hour ten of a shift.

02 / 10

Insurance · Claims, EU

A nine-day claims cycle became a 41-minute one.

A tier-one insurance group was losing renewal customers over claims latency, not price — and every regulator in the region wanted an explanation for every payout decision.

Document intelligence Policy-bound guardrails Regulatory audit trail Human sign-off on payout

41min

Median claims cycle, from 9 days

−58%

Adjuster hours per claim

100%

Decisions with a reviewable trail

The situation

Claims moved through five handoffs — intake, document review, coverage check, fraud screen, settlement recommendation — each one a queue. A straightforward claim still took over a week because it waited in line behind complicated ones.

The system

Triage agents now read incoming claims — documents, photos, policy terms — verify coverage, run fraud signals, and produce a settlement recommendation with the full reasoning chain attached. Nothing pays out without a licensed adjuster's sign-off; the agents did the reading, not the deciding. Every step logs to a record built for the regulator, not just the engineering team.

The result

Median cycle time dropped from nine days to 41 minutes for standard claims. Adjusters now spend their time on the 15% of cases that actually need judgment. Complaint volume tied to claims delay fell in the first full quarter post-rollout.

03 / 10

Software · Revenue Operations

A research-and-outreach fleet worked every account the SDR team couldn't reach.

A B2B software platform had more addressable accounts than reps to work them — and every net-new hire took a quarter to reach full productivity.

CRM-native agents Signal-based prioritization Human-reviewed sends Pipeline attribution

+$18M

Pipeline influenced, year one

3.4x

More accounts researched per week

−61%

Time-to-first-touch on new leads

The situation

The ideal customer profile was well understood; the problem was coverage. Reps triaged inbound and worked their top accounts by hand, and thousands of qualified companies never got a personalized first touch.

The system

A fleet of research agents now scores and enriches every account against buying-intent signals, drafts a genuinely specific first message per account, and queues it for a rep's one-click review before it sends. Nothing goes out unreviewed in the first ninety days of any campaign; the guardrail loosens only after the agents earn it on reply-quality metrics.

The result

$18M in pipeline was attributed to agent-sourced outreach in the first year, at a fraction of the cost of headcount growth. Reps now spend their day in live conversations instead of research and drafting.

04 / 10

Healthcare · Patient Access

Prior authorization stopped being the reason care got delayed.

A regional health system was losing days — sometimes weeks — to prior-authorization paperwork, on a staff that turned over faster than it could be trained.

Payer-rule engine EHR-native integration Clinician-in-the-loop HIPAA-scoped data boundary

−81%

Prior-auth turnaround time

−34%

Initial denial rate

140+ hrs

Staff hours reclaimed weekly

The situation

Every referral needed a prior-authorization request matched against a different payer's rules, submitted through a different portal, and chased manually when it stalled. Patients waited on procedures because paperwork was stuck in a queue, not because anyone disagreed on the medicine.

The system

Agents now pull the clinical record, match it against payer-specific authorization criteria, assemble the request, and track it to a decision — flagging anything ambiguous to a case manager rather than guessing. All patient data stays inside the health system's own environment; nothing crosses the boundary the compliance team didn't approve.

The result

Turnaround time fell 81% and first-pass denials dropped by a third, because requests now go out complete instead of missing the one code that gets them bounced. Staff attrition on the authorization team fell — the job stopped being pure data entry under deadline pressure.

05 / 10

Retail · Pricing & Inventory

Store-level pricing stopped being a once-a-week spreadsheet.

A national retail chain repriced and reallocated inventory weekly, by committee — while competitors and demand shifted daily underneath them.

Demand-signal ingestion Margin-bounded pricing Store-manager override Weekly business review agent

+6.2%

Gross margin, comparable stores

−29%

Markdown-driven inventory loss

Daily

Repricing cadence, from weekly

The situation

Pricing decisions ran through a Tuesday meeting that reacted to last week's numbers. By the time a markdown shipped, the inventory problem it was meant to solve had already gotten worse or fixed itself.

The system

Pricing agents now watch sell-through, local competitor pricing and inventory position per SKU per store, and propose daily price and allocation moves inside margin bands the finance team set. Store managers can override any single recommendation in one tap; the system learns from every override instead of repeating it.

The result

Gross margin improved 6.2% across comparable stores in two quarters, and markdown-driven inventory loss dropped by nearly a third. The Tuesday meeting still happens — it reviews strategy now, not spreadsheets.

06 / 10

Financial Services · Fraud & AML

A fraud desk that reviewed everything now reviews what matters.

A regional bank's fraud and AML team drowned in false-positive alerts — the same problem that makes real fraud easy to miss inside the noise.

Multi-agent alert triage Explainable risk scoring Analyst-in-the-loop SAR filing Model-risk audit log

−67%

False-positive alert volume

3.1x

Confirmed-fraud catch rate

100%

Filings with full decision lineage

The situation

Legacy rules-based monitoring threw thousands of alerts a day. Analysts cleared the easy ones fast and the genuinely suspicious ones got the same five minutes of attention as everything else.

The system

A mesh of agents now correlates transaction, device and behavioral signals per case, ranks alerts by explainable risk score, and drafts the narrative for anything that looks like a real filing. Analysts review and sign every suspicious-activity report; the agents never file autonomously. Every scoring decision is reconstructable for the next regulatory exam.

The result

False-positive volume fell 67%, freeing analyst time onto cases that were actually fraud — the confirmed catch rate more than tripled. The bank's last exam cited the audit trail as a model for the rest of the institution.

07 / 10

Manufacturing · Predictive Maintenance

Unplanned downtime stopped being the plant's biggest line item.

An industrial manufacturer ran maintenance reactively across eleven plants — fixing equipment after it failed, on production lines where an hour of downtime cost six figures.

IoT sensor fusion Failure-mode agents Technician dispatch integration Parts-inventory forecasting

−44%

Unplanned downtime hours

$9.6M

Downtime cost avoided, year one

11plants

Live on the maintenance network

The situation

Sensor data existed but nobody was watching it continuously. Maintenance schedules ran on fixed intervals regardless of actual equipment condition, so machines either failed early or got serviced needlessly.

The system

Agents now monitor vibration, temperature and throughput signals across the fleet, model failure probability per machine, and generate work orders before breakdown — automatically checking parts availability and technician schedules before committing a dispatch. A plant engineer signs off on anything that would take a line down for service.

The result

Unplanned downtime fell 44% in the first year, worth $9.6M in avoided losses across the network. Maintenance spend shifted from emergency repair rates to scheduled work at normal cost.

08 / 10

Software · Engineering Operations

On-call stopped being where senior engineers burned out.

A fast-growing SaaS company was shipping faster than its engineering org could support — on-call rotations were brutal, and ticket triage ate the best engineers' focus time.

Codebase-aware agents Sandboxed execution PR review co-pilot Escalation to human owner

−53%

Time-to-resolution on P2 incidents

2,100+

Tickets triaged monthly without a human

−19%

Senior-engineer interrupt load

The situation

Every incident started with the same fifteen minutes of log archaeology before a human even began diagnosing the actual problem. Support tickets that could be closed by reading the codebase still waited in an engineer's queue.

The system

Agents with sandboxed, read-scoped access to the codebase, logs and deploy history now perform first-pass incident triage, propose root cause with supporting evidence, and draft the fix for review. They close well-understood tickets directly and escalate anything novel to the engineer who owns that service, with full context attached — not a raw alert.

The result

Time-to-resolution on priority-two incidents fell by half. On-call engineers now start diagnosis with an answer already drafted instead of a blank terminal, and ticket backlog stopped growing for the first time in company history.

09 / 10

HR · Talent Acquisition

Time-to-offer dropped without lowering the bar.

An enterprise employer needed to fill hundreds of roles a quarter with a recruiting team that hadn't grown in three years, without trading speed for quality of hire.

Sourcing agents Structured-interview scoring Bias-audited screening Recruiter-approved every stage

−46%

Time-to-offer

2.8x

Qualified candidates sourced per req

0

Screening decisions made without recruiter review

The situation

Recruiters spent most of their week sourcing and scheduling, not talking to candidates. Strong applicants went cold waiting for a human to get to their file, and the team lost them to faster-moving competitors.

The system

Sourcing agents now build and continuously refresh candidate pipelines against each req's criteria, run structured first-round screening against a rubric the hiring team wrote, and hand recruiters a ranked shortlist with reasoning attached. Every screening rubric is audited quarterly for disparate impact, and no candidate advances or is rejected without a recruiter's decision.

The result

Time-to-offer dropped 46% and recruiters now spend most of their week in candidate conversations instead of sourcing spreadsheets. Quality-of-hire scores at the six-month mark held steady against the prior year.

10 / 10

Consumer · Customer Experience

Support tickets stopped needing a human for the first two tiers.

A consumer subscription brand scaled past a million active accounts on a support team sized for a tenth that many — wait times were the top driver of churn.

Omnichannel resolution agents Account & billing system access Sentiment-based escalation Full conversation audit log

68%

Tickets resolved with zero human touch

−79%

Median first-response time

+11pts

CSAT among agent-handled tickets

The situation

Ticket volume scaled with the user base; headcount didn't. Simple requests — billing questions, plan changes, password issues — waited in the same queue as complex, emotionally charged cases, and both suffered for it.

The system

Resolution agents now handle the two-thirds of ticket volume that's genuinely routine — with real access to account and billing systems, not scripted deflection — and escalate immediately on negative sentiment, repeat contact, or anything touching a refund above a set threshold. Every conversation is logged and sampled weekly for quality, the same way a human team would be.

The result

68% of tickets now resolve with no human touch and a 79% faster first response. Counterintuitively, CSAT rose — complex cases reach a human faster because agents aren't burning time on the routine ones anymore.

Your industry isn't
on this list yet.

Start a conversation