Agentic Frameworks & Coordination

1 — Multi-Agent Orchestration

Coordinate specialist agents through explicit ownership, shared contracts, and bounded execution so a business task produces one accountable result.

Concept overview

Multi-agent orchestration assigns parts of a request to autonomous workers and controls how their results become a final decision. The architectural unit is a task contract, with inputs, allowed tools, evidence requirements, deadline, and completion criteria. Adding personas without independent capabilities creates conversation overhead rather than useful specialization.

The orchestrator owns coordination; domain systems retain authority over business records. Agent messages are untrusted proposals until validated. Shared state should store typed findings and artifact references, while private working context stays with each worker. This separation makes disagreement inspectable and prevents one specialist from silently rewriting another specialist's evidence.

Why it matters in production

Proof of concept

A prototype can run specialists sequentially in one process. First measure whether specialization improves task quality against a single capable agent using identical tools.

Production

Production introduces deadlines, per-worker permissions, a durable task ledger, and explicit partial-result handling. Assign one component responsibility for final acceptance and customer communication.

Enterprise scale

At enterprise scale, isolate worker pools by capability and tenant, cap fan-out, and measure critical-path latency. A faster worker has little value when aggregation always waits for the slowest optional branch.

Architecture components

Coordinator

Decomposes accepted requests and owns task status, deadlines, cancellation, and final assembly.

Specialist workers

Apply domain tools under scoped credentials and return structured findings with evidence identifiers.

Task ledger

Persists assignments, attempts, dependencies, and immutable output references for recovery.

Result validator

Checks contracts and conflicting claims before the coordinator publishes an answer.

Policy gateway

Enforces tool authorization independently of the model's requested action.

The architecture, mapped

Specialist coordination with an acceptance gate — Independent investigations converge on a validator; the human decision remains outside worker autonomy.

flowchart LR
 R["Case request"] --> O["Coordinator"]
 O --> F["Fraud specialist"]
 O --> C["Coverage specialist"]
 O --> D["Document specialist"]
 F --> V["Evidence and conflict validator"]
 C --> V
 D --> V
 V --> H["Adjuster decision"]
 O --> L["Durable task ledger"]
 V --> L

Worker timeout and partial aggregation — Partial findings remain attributable; a timeout cannot silently satisfy a mandatory specialist requirement.

sequenceDiagram
 participant O as Coordinator
 participant W as Specialist worker
 participant L as Task ledger
 participant V as Acceptance validator
 O->>L: Persist bounded assignment
 O->>W: Execute with evidence contract
 W-->>O: Validated partial findings
 O->>L: Record findings and expired deadline
 O->>V: Assess required and optional coverage
 V-->>O: Incomplete result with missing evidence
 O->>W: Cancel remaining optional work

Runtime flow

1
Establish scope
Authenticate the requester and record the decision needed, exclusions, deadline, and evidence freshness constraints.
2
Assign bounded work
Create explicit specialist contracts with maximum calls, artifact schemas, and narrow data access.
3
Dispatch dependencies
Run independent investigations concurrently and delay dependent tasks until required artifacts validate.
4
Merge evidence
Join findings by business entity and source version; preserve contradictions as unresolved observations.
5
Resolve exceptions
Request targeted clarification or route conflict to an accountable reviewer without restarting successful branches.
6
Publish outcome
Validate the complete response, commit final status, and cancel outstanding optional work.

Coordinating a complex property claim

Insurance · Illustrative enterprise scenario, not a reported customer outcome.

Business situation

A commercial insurer receives a warehouse claim containing photographs, policy amendments, repair estimates, and a police report.

The problem

One broad prompt mixes coverage interpretation with document extraction and can confuse suspicion with a verified finding.

Agent requirement

The assistant must assemble an evidence-backed assessment while reserving settlement authority for the adjuster.

Architecture

Separate coverage, fraud-screening, and document agents share claim identifiers through a coordinator, with read access tailored to each role.

Runtime

Claim intake launches document extraction and coverage retrieval; fraud screening consumes validated incident facts rather than raw model guesses.
The coordinator presents agreements, contradictions, missing evidence, and source references in the adjuster's work queue.

Failure scenario

If document extraction fails, the case remains incomplete with its successful coverage analysis retained; no settlement instruction is issued.

Operational impact

Measure analyst review time, unsupported-claim rate, critical-path duration, and calls per completed assessment. These are evaluation targets, not promised business outcomes.

Architecture tradeoffs

Decision	Benefit	Cost
Parallel specialists	Independent evidence gathering can shorten elapsed time.	Concurrent model calls increase peak spend and coordination load.
Central coordination	One owner can enforce budgets and acceptance rules.	The coordinator becomes a capacity and availability boundary.
Shared typed artifacts	Consistent contracts simplify recovery and auditing.	Schema changes require versioning across independently deployed workers.

Failure scenarios & recovery

Workers disagree on policy validity

Detect: Validator finds conflicting effective dates attached to the same contract.

Recover: Fetch the authoritative policy version and escalate any remaining ambiguity.

One worker never completes

Detect: Task ledger shows an expired lease or deadline.

Recover: Retry only safe work or publish an explicitly incomplete assessment.

Common architecture mistakes

Creating an agent for every prompt

Separate workers only where tools, ownership, parallelism, or evaluation differ.

Broadcasting the entire case to every worker

Send minimum required context and enforce access at retrieval time.

Allowing unlimited delegation

Cap delegation depth, total calls, and per-case expenditure.

When to choose this pattern

Choose it when

Tasks require distinct tools or expertise with measurable quality benefits.
Independent investigations can execute concurrently under separate permissions.
An explicit owner must reconcile conflicting evidence.

Avoid it when

One structured model call already meets the required quality.
A deterministic pipeline fully defines every operation.
Coordination latency exceeds the value of specialist analysis.

Architecture checklist

Define specialist input and output contracts.
Assign final acceptance to one coordinator.
Set fan-out and delegation-depth limits.
Test contradictory and missing worker results.
Trace every assignment to its parent request.
Cancel optional work after case completion.