AGT-0102
AR Collections Agent
Drafts dunning communications and recommends collection actions across the receivables portfolio: scores each overdue invoice on payment likelihood, sequences reminders through demand letters, tracks promises to pay, and routes disputes out of the dunning path. Typical owner is the head of order-to-cash.
Typical impact cost and cycle-time compression, with first value in about 6 weeks. Autonomy is draft-then-approve.
CASE FOR
Best when drafts dunning communications and recommends collection actions, and a named owner can review drafts before they land in the system of record.
CASE AGAINST
Poor fit when the work has no system of record, no approval owner, or when the Charter data-foundation score is too low to ground the agent.
USE CASE FIT
- Drafts dunning communications and recommends collection actions.
- Human review sits on the write-back, not on the research.
- Evidence of every draft, approval, and action is kept with the record.
Finance lead
Finance operations
durable
HOW IT WORKS
Architecture & Operating Blueprint
End-to-end signal ingestion, model inference, human-in-the-loop review, and write-back audit trail.
Accounts + ownership
Live context & signals
Enterprise Taxonomy
Criteria + won deals
Ledger & anomaly audit
Reconcile, correlate, score
MCP GROUNDEDVariance analysis
Policy-constrained plan
Edit, approve, reject
HUMAN GATECommitted to system of record
SYSTEM WRITE-BACKDomain Systems of Record
Function-specific systems this agent depends on
- SAP MCPConnected
Provides domain ground-truth, event subscriptions, and transactional write-back permissions.
- Dun and Bradstreet APIConnected
Provides domain ground-truth, event subscriptions, and transactional write-back permissions.
General Enterprise Sources
Standard sources most deployments draw on
- Communication & Sequencing Platform
Executes approved sequences, dispatches notifications, and tracks open, reply, and delivery telemetry.
- Document Store & Vector Catalog
Holds approved messaging blocks, case studies, and value propositions used in grounding.
- Identity & Access Management (IAM)
Controls which role owners can authorize drafts, inspect audit trails, and execute write-backs.
Target records, context, and buying signals
Pulled from SAP MCP and context streams, enriched with historical records, then matched against policy definitions.
- Score accounts against criteria
- Identify accountable contacts
- Deduplicate against active cycles
Synthesizes strongest signals into actionable briefs
Foundation models structure raw telemetry into drafted proposals personalized to the specific context.
- Summarize target context into brief
- Draft steps grounded in approved tone
- Flag low-confidence signals
Evaluates constraints & prioritizes queue
The agent decides which targets deserve action now, which angle fits the detected signal, and checks compliance bounds.
- Rank accounts by signal strength
- Select policy-approved playbook
- Hold drafts conflicting with active campaigns
Owner review queue & transaction release
Drafted actions land in Finance operations's review queue; approved actions are sent from the system and logged.
- Queue drafts for edit, approve, or reject
- Release approved steps to execution stack
- Log audit trail into SAP MCP
Owner edits, reply outcomes, and conversion signals feed back into targeting and drafting so the agent learns which angles and signals actually work.
Drafts always pass through owner approval before send; autonomous execution without human gate is out of scope by design. Messaging blocks should be curated so personalization stays inside brand and compliance guardrails.
PRACTICAL EXAMPLES
Standing the finance workflow up
A team already lives in SAP MCP. Drafts dunning communications and recommends collection actions. Drafts stay in Review until a named owner signs.
INPUTS
Named accounts or records from SAP MCP, plus the policy block on the Charter.
OUTPUTS
Drafted next steps queued for the owner, with evidence attached to the record.
OUTCOME: Coverage goes up without unsupervised send. First value in about 6 weeks.A noisy week, not a greenfield
Volume spikes. The agent keeps researching and drafting; Review is the only write-back.
INPUTS
The live queue, prior outcomes, and the same MCP connectors.
OUTPUTS
A ranked draft list. Weak signals flagged for suppression rather than sent.
OUTCOME: The owner spends time on exceptions. The playbook improves from measured replies.When it should not run
Poor fit when the work has no system of record, no approval owner, or when the Charter data-foundation score is too low to ground the agent.
INPUTS
No system of record, or Charter data-foundation below the layer gate.
OUTPUTS
The agent stays on the shortlist and does not deploy.
OUTCOME: Manthan refuses the SKU rather than shipping an unsupervised send.
ROI BAND
Cost-out range
5–15
Revenue-up range
15% to 35%
Time to first benefit
6 weeks
Personalized ROI & Capacity Engine
Enterprise Impact Simulator
Estimated Cost-Out Savings
$1.25M – $3.75M
5% to 15% benchmark band
Capacity Unlocked
~30 FTEs
≈ 58,500 hours/year reallocated
Value / Employee
$4K/yr
First benefit in ~6 weeks
ENTERPRISE TOPOLOGY
Architecture Integration Hub
End-to-end data pipeline, model reasoning cluster, and governance write-back boundary.
Upstream Signals & CDC
Protocol: Kafka / Webhook / REST Poller
AR Collections Agent
Tools: SAP MCP, Dun and Bradstreet API
System of Record Commit
Compliance: general
Multi-Turn Agent Reasoning Architecture
Model ensemble, chain-of-thought verification, and specialized tool-calling harness.
PRIMARY REASONING LLM
Claude Sonnet
Structured output validation with temperature clamped at 0.15.
AUTONOMY SPEC
draft-then-approve
Bounded execution loops with hard ceiling of 8 agentic reasoning steps.
VERIFICATION HARNESS
Deterministic Guardrail
Mathematical checksums and boundary rules evaluated prior to tool calls.
Inspect Normalized Telemetry Payload (JSON)
{
"event_id": "evt_agt-0102_9481",
"timestamp": "2026-09-16T18:16:40.364Z",
"source_system": "SAP MCP",
"agent_target": "AGT-0102",
"function": "Finance",
"security_context": {
"tenant_boundary": "sovereign cloud",
"compliance_class": "general",
"pii_redacted": true
},
"inference_pipeline": {
"model": "Claude Sonnet",
"temperature": 0.15,
"max_tokens": 4096,
"tools_invoked": [
"SAP MCP",
"Dun and Bradstreet API"
]
},
"downstream_destination": "Dun and Bradstreet API"
}Dependencies and prerequisites
What must be in place first
Minimum maturity this agent assumes, on a 0–5 scale. Below these thresholds it can still draft, but there is nothing to ground the draft against or anyone accountable for approving it.
- L1 FoundationsRequires ≥ 2.0 / 5.0
Strategy and architecture: a named owner, a defined decision right, and a place this agent's output lands.
0.05.0 - L5 Functional disciplineRequires ≥ 1.5 / 5.0
The workflow is already defined and measured, so drafted actions have something to be judged against.
0.05.0
RISK AND GOVERNANCE
Autonomous balance adjustment is prohibited. Discrepancy resolutions above threshold require dual-controller sign-off; full traceability to general ledger line items is preserved.
- Dual controller approval required for any transaction write-back
- Statutory accounting rules bound automated variance classifications
- Immutable audit trails timestamped on distributed ledger
- Zero-knowledge data residency on sensitive payroll and tax records
- Quarterly model drift and accuracy re-certification
Systems of record
- SAP MCP
- Dun and Bradstreet API
From the Atlas record.
Foundation Models
- Claude Sonnet
- fine-tuned Mistral 7B
From the Atlas record.
SIMILAR AGENTS TO COMPARE
Ready to evaluate this SKU for your estate? Shortlist it or talk to Wayam.
AGT-0102·AR Collections Agent