A library of outcomes seen at enterprise scale — across financial services, CPG & retail, and manufacturing & industrial.
A Tier-1 retail bank reconciling across 14 source systems compressed quarterly close — and freed senior analysts for higher-value work.
A multinational consumer brand lifted forecast accuracy at SKU/store grain — and cut peak-week stockouts by a third.
A global automotive supplier reduced annual scrap by $12M after a predictive quality agent caught process drift before propagation.
A Tier-1 commercial bank cut alert triage time by two-thirds — and let analysts focus on the cases that actually needed judgment.
A global CPG with $1.2B in annual trade investment lifted promo ROI — and re-deployed $200M into activities that actually moved units.
A global aerospace components manufacturer lifted schedule adherence and throughput by letting a production agent re-plan against real-time material and machine state.
A top-10 North American insurer cut claims adjudication cycle time from 14 days to 4 — and reversed an 8% backlog growth trend.
A national specialty retailer lifted gross margin across the assortment while preserving key-value-item perception — by giving an autonomous pricing agent the playbook.
A global industrial conglomerate with $4B procurement spend avoided two major supply disruptions and cut sourcing decision time by 60%.
A top-5 card issuer collapsed dispute resolution from four days to same-day on most cases — and pushed touchless resolution above 80%.
A direct-to-consumer brand with $80M annual marketing spend lifted conversion 28% on flat budget — by reallocating $11M in flight.
A global equipment service provider with 40,000 technicians lifted first-time-fix rates and cut wasted truck rolls by a quarter.
A Tier-1 North American retail bank reconciling across 14 source systems.
Daily reconciliation across 14 source systems consumed the majority of mid-level analyst capacity. Quarterly close ran five business days — with the final two largely dedicated to break investigation. Headcount additions weren't an option; analyst attrition was.
An autonomous reconciliation agent took ownership of daily transaction matching, drafted candidate journal entries with supporting evidence, and investigated breaks — surfacing one-click approve-or-override packs the team could clear in seconds rather than hours.
The bank didn't replace its analysts — it redirected them. Where they'd been processing exceptions, they now investigate the patterns underneath them. The agent didn't take work away; it freed senior people to do senior work.
A top-10 North American property & casualty insurer.
Claims adjudication cycle time had stretched to 14 business days. Backlog was growing 8% year over year. Customer satisfaction was the first metric to feel it; loss-adjustment expense was the second.
A claims adjudication agent — combining document understanding, policy reasoning and historical settlement patterns — handled the high-volume, lower-judgment claims end-to-end. Adjusters were escalated only to claims that genuinely required judgment.
Adjusters became higher-leverage. The work that remained on their desk was the work that needed their experience — and the customer experience improved most where it had been worst.
A multinational consumer brand running 60+ SKUs across 12,000 retail doors.
Forecast accuracy at SKU/store grain sat below 60%, which drove chronic out-of-stocks during promotional and seasonal weeks — and surplus inventory afterward. Trade investment was being spent on shelves that didn't have the product.
A demand sensing agent ingesting POS, channel sell-through, weather, promotion calendars and external demand signals revised short-horizon forecasts continuously — and triggered replenishment when reality diverged from plan. Every forecast revision came with a transparent rationale the planner could audit or override.
The agent didn't replace the demand planner. It gave them a forecast that updated as fast as demand did — and a reason for every revision the category manager could defend.
A direct-to-consumer brand with $80M annual marketing spend across paid social, search and display.
Roughly a third of paid spend continued past the point of marginal return. Mid-campaign reallocation was happening weekly at best — and required a meeting to decide.
A campaign orchestration agent matched creative, channel and audience in flight. It reallocated budget mid-campaign against in-market performance, surfaced when a campaign had stopped earning, and queued the next decision for marketer override or one-click approval.
The marketing team didn't lose control — they gained leverage. The agent did the watching; humans made the calls. The decisions just got faster, smaller and more honest.
A global automotive supplier producing safety-critical components across 11 plants.
Process drift was only detected at the inspection station — by which point thousands of parts had already been produced. Annual scrap exceeded $20M, and quality engineering was spending more time on forensics than prevention.
A predictive quality agent monitoring sensor telemetry, line speeds, ambient conditions and material lot data surfaced drift signals four to eight hours before they reached the inspection station — with recommended corrective parameters for the line supervisor to confirm.
The agent didn't replace the quality team. It turned a reactive function into a preventive one — and let senior engineers spend their time on the patterns, not the casualties.
A global industrial conglomerate managing $4B in annual procurement spend across five business units.
Tier-2 and tier-3 supplier risk was effectively invisible until a disruption surfaced it. Sourcing teams were running on quarterly reviews — too slow for a supply base that moved weekly.
A supplier resilience agent monitored financial health, geopolitical signals, ESG indicators and operational disruption patterns across the tier-1, tier-2 and tier-3 supply base. When risk crossed a threshold, the agent surfaced pre-qualified alternates and a recommended sourcing rationale.
The procurement team didn't get bigger. It got faster. The agent moved supplier risk from a quarterly conversation to a continuous one — and a supply base from a list to a system.
A Tier-1 North American commercial bank running transaction monitoring across 600+ correspondent relationships.
KYC alert backlog had stretched to 21 days. Manual triage of low-risk alerts consumed 70% of analyst capacity — and the cases that genuinely needed senior judgment kept slipping behind the ones that didn't.
A KYC investigation agent triaged incoming alerts, gathered counterparty evidence across internal and external sources, drafted disposition narratives — and escalated only the high-judgment cases with full evidence packs the senior team could clear in minutes.
Compliance got faster without becoming looser. The work senior analysts did got harder — and more meaningful. The work the agent did didn't need a human in the first place.
A global consumer-goods company managing $1.2B in annual trade investment across 20+ retail accounts.
Roughly a third of trade investment failed to drive incremental lift. Visibility was post-hoc and aggregated — and by the time the post-mortem ran, the next quarter's plan was already booked.
A trade-promotion optimizer agent modeled incremental lift in flight, surfaced low-ROI activities while there was still time to act, and recommended re-deployment of dollars into the activities the data said were working.
Trade investment stopped being an entitlement. It became a portfolio — actively managed, defensible to finance, and earning its place each quarter.
A global aerospace components manufacturer running discrete production across nine plants and 1,400 work centers.
The daily schedule was a static artifact by 9 AM. Material delays and unplanned downtime forced manual re-planning that consumed planner days — and the plant still ran behind the plan by mid-week.
A production-planning agent ingested machine state, material readiness and demand priority continuously — and revised the schedule with recommended swaps the supervisor could approve in a tap, with the impact on downstream commitments made visible.
The plan became a living artifact. Planners stopped playing Tetris and started working on capacity strategy — the work the title actually implied.
A national specialty retailer running 18,000 SKUs across 1,100 stores plus a fast-growing e-commerce channel.
Pricing decisions ran weekly. Competitive moves landed faster than that — and key-value-item perception was being eroded by reactive markdowns that the merchant team didn't have time to model.
A pricing agent monitored competitor moves, elasticity signals, and inventory position — and recommended price moves the merchant could approve with one click. Key-value-item guardrails were explicit and never crossed without escalation.
Merchants didn't lose authority — they gained speed and a defensible audit trail. The agent did the watching; humans made the calls.
A top-5 North American card issuer processing six-figure dispute volumes monthly.
Dispute volume rose 22% year over year. SLA pressure was real — and every breached deadline showed up in customer churn data two weeks later.
A dispute resolution agent gathered evidence across transaction history, merchant data and policy rules, classified each case against regulation and issuer policy, and resolved straight-through where the evidence and pattern aligned.
Customers didn't see a slower bank. They saw a faster one. And the cases that did reach a human reached one with the evidence already organized.
A global equipment service provider operating 40,000 field technicians across 60 countries.
One in four service calls required a second visit — because the technician arrived without the right part or the right context. The cost of return trips ran into the tens of millions; customer dissatisfaction ran longer.
A field-service agent predicted likely root cause from telemetry and ticket history, recommended the parts likely to be needed, and equipped the technician with prior-case context before they left the depot.
Technicians got smarter — without being replaced. The truck arrived with the answer, not the question.