Every solution below was built on flexday.ai for a named enterprise customer. Some are products now. Some are one company's competitive advantage and always will be. Filter by the work you're trying to fix.
All inbound supplier communication for a global chemical company, order status, delivery dates, invoice and payment queries, certificates of analysis, spec and safety documents, read, matched to the purchase order and answered against live Ariba and SAP records. Sixty percent resolves without reaching the buyer desk.
Which plant should make which product for which region, given lanes, modes, capacity, tariffs and seasonality. Ranked trade-offs across the whole network rather than one lane at a time. Eight million dollars of benefit measured in six months against actual freight spend.
Purchase timing, coverage, lead times and consumption across up to sixty plants, tuned per site. Forecasting, optimization and classification models working together rather than a single prompt. Part-funded through Microsoft ECIF.
Board and production planning alongside the Buyer agent, on the same plant model, so the purchasing decision and the production decision stop being argued in separate meetings.
Convolutional networks trained on the real defect set compare what printed to what was approved, copy, claim, allergen statement, barcode, color and registration, and flag deviation while the web is still running. Rework down, and the compliance failures that matter most caught upstream.
Productivity benchmarks in cases and pallets per hour, shipping forecasts turned into labor plans, and shift allocation optimized against real constraints. Planners work the exceptions instead of building the schedule.
A 20-person team reviews 15–20,000 scanned documents a day. The agent classifies, matches to the shipment record, clears the routine and routes only genuine exceptions to a human.
Cargo claims answered from the policy, the tariff, the delivery record and the POD image, for both the claims desk and the customer, with the same grounded answer.
Assembles the full evidence pack for a disputed claim, scans, exceptions, handling history, prior patterns, and proposes a fault determination for an adjuster to accept or reject.
Reviews historically paid claims to find the ones where fault sat elsewhere, quantifying recovery opportunity and building the case file.
Predicts shipments likely to bill below cost before the invoice goes out, with the driver named, rating error, accessorial miss, dimensional discrepancy.
Reads inbound quote requests in whatever form they arrive, resolves the lane, class and accessorials, and drafts a quote for a pricing analyst to release.
NMFC classification, tariff and CzarLite mechanics and dynamic pricing modeled as ontology, so pricing questions get consistent answers across the network.
Invoice-to-cash orchestration across a global services business: exception handling, dispute triage, dunning, cash application and collections prioritization.
An eleven-step lifecycle from lead through pitch, job setup, inspection, assessment, deliverable and close, orchestrated across roughly 60,000 requests a year.
Employee service at 70,000+ employee scale, grounded in policy across jurisdictions and entities. Contributed to a CIO 100 award and two filed patents.
Early attrition signal assembled from operational patterns, surfaced to HR business partners with explicit boundaries on what is never used as a feature.
A single operating view of workforce state, headcount, movement, open demand, capability gaps, for leaders who currently reconcile four reports to get it.
Infers what people can actually do from work history, certifications and project records, mapped to a job architecture, for mobility and gap analysis.
FMLA, ADA, DOT, STD and return-to-work as one governed workflow, eligibility maths, concurrent designation, intermittent pattern detection, correspondence, specialist review.
Multi-agent review of supplier agreements across German, Spanish and Portuguese, preserving the legal position through translation, with a human checkpoint before anything becomes a position.
Obligations, rebates, price mechanisms, indexation, termination and exclusivity pulled out of the contract estate and made queryable alongside spend.
Alert triage and investigation support over third-party risk data and internal records, with a medallion data pipeline underneath and full investigator audit trail.
Multi-year program covering supplier health, disruption, spend and contract obligation across a Fortune 200 packaging manufacturer's supply base.
Site-level intelligence joining historian, MES, quality and maintenance data into one console with cause analysis and recommended action.
The scoring and portfolio model behind an enterprise AI center of excellence, intake, feasibility, value, reuse and gate progression.
Live across several large F&B brands, turning consumer and retail signal into weekly category decisions with evidence attached.
Decades of video and recorded material indexed, searchable and summarizable, institutional memory made usable rather than merely stored.
Guest signal from reviews, service contacts and operational data resolved to unit, daypart and menu item, so a district manager gets a real answer.
A five-agent system for generative engine optimization and marketing intelligence, visibility, share of answer, competitive positioning and content strategy.
A member organization's operating console covering safeguarding compliance, registration and event operations, with live streaming assistance for staff.
Customer-facing assistance grounded in tariffs, service maps and shipment status, answering the questions that currently become phone calls.
Unassigned credits identified and matched, refunds and auto-apply proposed, with an accounts receivable analyst approving before anything posts.
Turns raw candidate and consultant material into consistent, client-ready profiles against a defined template and quality bar.
Once you have seen thirty of these built, the repetition is obvious and useful. When we scope your solution we can usually tell you within an hour which pattern it is, what it will take, and where it tends to go wrong.
Scope yours →High-volume queue, most items routine, a minority genuinely need judgment. The agent clears the routine and explains the rest.
A question whose answer is spread across documents, policies and records that nobody has time to read.
Building the case file, for a claim, a dispute, an audit, an investigation, from every system that holds a piece of it.
Continuous monitoring across noisy sources, escalating only what changes what someone should do.
A long-running, multi-party process with handoffs, gates and durable state, agents inside a real workflow engine.
Vision on the line or on the document, with confidence thresholds and a human queue for what it isn't sure about.
Describe the process and we'll usually tell you within an hour which one, what it takes, and where it tends to go wrong.