Seam powers agent workflows in finance, healthcare, and e-commerce — each with its own compliance requirements, trust boundaries, and coordination patterns. Same product. Different workflows. Every workflow makes the next decision smarter.
Loan originations, trade surveillance, and regulatory reporting — every workflow touches compliance at every step. Seam makes every decision auditable and replayable by default. And as decisions accumulate, Seam learns which coordination approaches perform best in your specific environment — reducing false positives and improving routing without any configuration changes.
A loan application triggers a coordinated Seam session. Credit scoring, fraud detection, document parsing, and compliance agents run in parallel — each output verified, each decision bounded by policy, the commitment sealed with a hash-chain. When a regulator asks why an application was approved, you replay the session — same agents, same context, same policy version. And over time, Seam learns which combination of agents and coordination policies produces the best underwriting outcomes for each applicant profile in your portfolio — so routing improves automatically.
Surveillance agents monitor trade streams in real time. When a pattern triggers a flag, a multi-agent Seam session opens — market data, pattern analysis, and compliance agents coordinate a rapid decision with a human gate for high-risk cases. Every flagged trade, every step, every decision sealed to the millisecond. Seam learns which anomaly patterns in your market structure generate genuine alerts versus noise — false positive rates drop as the system calibrates to your specific trading environment.
Data agents pull from trading systems and risk engines. Calculation agents apply the regulatory framework. A validation agent cross-checks. Assembled, reviewed, filed — with full lineage from raw data to submission. Every figure traceable to its source dataset and transformation logic. Seam learns which validation sequences catch the most errors before submission — reducing rework cycles with each filing.
Prior authorizations, clinical documentation, patient journey coordination — workflows where the stakes are human. Every agent decision verifiable. Every handoff traceable. Patient data never leaves your VPC. And Seam learns which cases are genuinely ambiguous versus which can be handled confidently — so the right cases reach human review and the right cases don't.
A prior authorization request triggers a Seam session. Clinical eligibility, formulary compliance, and benefits verification agents run in parallel. High-ambiguity cases escalate to clinical review automatically — full context handed off, not reconstructed. Every denial backed by a provable decision trail. As cases accumulate, Seam learns which criteria combinations reliably indicate ambiguity — so the human review queue shrinks toward the cases that genuinely require clinical judgment.
Clinical documentation agents structure physician encounter notes and route to coding agents. ICD-10 and CPT codes suggested, validated against payer rules, reviewed before submission. Coders review flagged cases — not every claim. Throughput increases. Denial rates drop. Every decision traceable to the source encounter. Seam learns which code suggestions get accepted versus overridden by your coders — improving suggestion quality for your specific payer mix and documentation patterns over time.
A patient's journey across departments involves dozens of handoffs. Seam orchestrates each one — context carried across departments, identity verified at every transition, care gaps flagged automatically. Discharge agents synthesise the full patient context to coordinate post-acute placement. Seam learns optimal handoff patterns across your specific department structure — reducing delays at the transitions that matter most.
Dynamic pricing, fraud detection, customer escalation — operations that happen thousands of times a day, each a coordinated decision. Seam makes every agent action observable and every decision explainable. With volume this high, the learning loop compounds quickly — Seam calibrates to your specific market, your customers, and your fraud patterns faster than any other sector.
Market data agents monitor competitor pricing, demand signals, and inventory levels in real time. Pricing agents calculate optimal prices per SKU. Inventory agents flag reorder points and trigger supplier negotiations. Every decision logged. When a flash sale causes an anomaly, you replay the Seam session to understand exactly which signal triggered which change. And over time, Seam learns which pricing signals are most predictive in your specific market — improving pricing accuracy with every decision cycle without manual retuning.
Support agents classify intent, load order context, and resolve routine cases autonomously. Complex cases trigger a Seam decision session — policy, inventory, and compensation agents coordinate within a bounded session. Escalations to human agents arrive with the full context handed off cleanly, not reconstructed. Seam learns which case types your customers raise that can genuinely be auto-resolved versus those that need human judgment — reducing unnecessary escalations over time.
Device fingerprint, behavioural, and velocity agents assess signals in parallel. A risk-scoring agent synthesises them. High-risk transactions open a Seam decision session — approve, review, or block — sealed with an audit record. When a customer disputes a block, you replay the session: every signal, every weight, every policy version. Seam learns which signal combinations are most predictive of fraud in your specific environment — improving detection rates and reducing false positives without a single configuration change.
We scope your specific workflows with your engineering and compliance teams. Every deployment is different. The learning system calibrates to your environment — your decisions, your outcomes, your patterns.
Seam · zer07 Labs · Private beta 2025