LIVE — STAGES HANDING OFF WORK

Sequential Pipeline

Work flows through a fixed chain of specialist agents, each stage refining and verifying the last.

-85%
Handoff errors
-70%
Cycle time
100%
Stage traceability
The pattern

What is Sequential Pipeline?

The assembly line of agentic AI: each agent owns one stage — extract, enrich, draft, review, publish — and passes a validated artifact to the next. Deterministic order, typed handoffs, and a quality gate between every pair of stages.

A sequential pipeline chains agents in a fixed order, with the output contract of each stage forming the input contract of the next. An intake agent normalizes raw material, an enrichment agent adds context, a drafting agent produces the artifact, a critic agent scores it against a rubric, and a finalizer formats and ships it. Every handoff is a typed schema, not free-form prose — which is what makes pipelines the most reliable multi-agent pattern in production.

Pipelines shine where the process itself is the product: claims handling, document processing, content operations, candidate screening. The order of operations is known, the quality bar at each stage is known, and what the business wants is that bar enforced ten thousand times a day without drift. Because each stage sees only a validated artifact, error compounding — the classic failure mode of long LLM chains — is cut off at every gate.

We build pipelines with per-stage evals, dead-letter queues for artifacts that fail a gate, and human-review taps that can be opened on any stage. Clients typically start by automating three stages of an existing workflow and extend the chain as confidence grows — the pattern is deliberately incremental.

How it works

The coordination loop, step by step

  1. 01

    Intake & normalization

    The first agent converts raw inputs — documents, tickets, records — into a clean, schema-validated working artifact.

  2. 02

    Stage-by-stage transformation

    Each downstream agent performs exactly one transformation: enrich, classify, draft, redact, or summarize. One job, one agent.

  3. 03

    Quality gates between stages

    Every handoff passes a validation gate — schema checks plus an LLM critic scoring against the stage rubric. Failures never propagate.

  4. 04

    Rework loop

    Artifacts that fail a gate loop back to the owning stage with the critic's feedback, or drop to a dead-letter queue for review.

  5. 05

    Finalize & deliver

    The terminal agent formats the artifact for its destination system — CRM, EHR, CMS, core platform — and records the full stage history.

Strengths

  • Deterministic, explainable flow — anyone can point at the stage where something happened
  • Typed handoffs stop error compounding between LLM calls
  • Per-stage evals make quality measurable and tunable in isolation
  • Stages scale independently — add replicas only where the queue backs up
  • Easiest pattern to roll out incrementally over an existing human workflow

Tradeoffs

  • Throughput is capped by the slowest stage — one bottleneck stalls the chain
  • Rigid ordering handles novel or branching cases poorly without escape hatches
  • End-to-end latency is the sum of all stages; not suited to real-time interaction

Every topology has a bill. We tell you what it is before we build.

Best for

Reach for sequential pipeline when…

Document-heavy workflows with a known, repeatable sequence
Processes where per-stage quality bars must be enforced at scale
Migrating an existing human assembly line to agents one stage at a time
High-volume operations where consistency matters more than creativity
Compliance processes that need a stage-stamped artifact history
In the field

Where sequential pipeline earns its keep

Insurance

Straight-through claims pipeline

FNOL intake, document extraction, coverage verification, fraud screening, and settlement drafting run as five chained agents. Clean claims flow straight through; anything ambiguous drops to an adjuster with the full stage history attached.

ImpactClaims triaged in minutes, not days

E-Commerce

Catalog enrichment line

Supplier feeds pass through normalization, attribute extraction, copywriting, SEO, and brand-compliance stages. Every SKU that reaches the storefront has cleared all five gates.

Impact40K SKUs enriched and published per day

Human Resources

Candidate screening chain

Resume parsing, skills matching, structured pre-screen Q&A, and interview-packet assembly run as sequential stages with a fairness-audit gate before any ranking reaches a recruiter.

ImpactTime-to-shortlist cut by 75%

Healthcare

Referral processing pipeline

Inbound referrals are classified, extracted, checked against clinical criteria, and pre-authorized in sequence — with a clinician review tap open on the criteria stage from day one.

ImpactSame-day referral turnaround across the network

Legal

Contract lifecycle line

Drafting, clause-library conformance, risk redlining, and execution-package assembly run as gated stages, so every outbound agreement has passed the firm's playbook checks before a partner sees it.

ImpactFirst-draft-to-signature time down 60%

Reference stack

What we typically wire together

Stage AgentsTyped Artifact SchemasLLM Critic GatesQueue BackboneDead-Letter ReviewPer-Stage Evals

Ship a sequential pipeline swarm on your workflow

Tell us the process you want to automate and we'll map sequential pipeline onto it — orchestration layer, guardrails, and observability included, with timeline and cost estimates.