Governance, structured.
Helping banks, insurers and government departments turn ungoverned triage into scored, logged and auditable decisions before work reaches CRM, ERP or ITSM.
- Industry: Enterprise & Government
- Service line: Governed AI, Audit and Compliance
- Product: dbSAMIRA
- Deployment: Reference architecture: sources, intelligence layer, enterprise systems
Results at a glance
- Up to 70% less manual triage effort in illustrative deployments of comparable scope
- 60% faster routing to the correct owner in the same deployments
- 100% of decisions logged with a plain-language rationale
Outcome figures are from illustrative deployments comparable in scope, as published in the SAMIRA research brief.
Challenge
The same request, read by two people on two shifts, gets classified two ways. Nobody can say why.
Every enterprise runs on mature systems of record and execution. What sits between them, a person reading a raw request and deciding what it is, who owns it and how urgent it is, has never been automated, scored or logged.
- A cost no one owns. Manual triage hides in slower responses, inconsistent SLAs and headcount that scales with volume, so it never appears as one line item.
- No record of why. When a regulator, auditor or ombudsman asks to reconstruct a decision, ad hoc classification leaves nothing to follow.
- Rules cannot create categories. RPA and rules engines route once a category exists. They cannot read a new request and decide what it is.
Solution
The research brief sets out SAMIRA as a three-layer reference architecture: communication sources feed an intelligence layer, which feeds the enterprise systems already in place.
Case walkthrough: Case #LN-4471, a disbursement-delay email. Category: Loan Servicing – Disbursement. Priority: High, no regulatory risk. Owner: Loan Servicing Team. Policy attached: Disbursement SLA v3.2. Confidence: 96%, auto-routed, with a ten-decision audit trail.
- Five stages, each scored. Ingestion, understanding, classification, risk scoring and routing, with a numeric confidence score at every step rather than pass or fail.
- Autonomy set by confidence. A 98%-confidence item routes automatically; a 62%-confidence item waits for review. Where the threshold sits is the organisation’s governance decision.
- Explained and logged. Every classification carries a plain-language rationale, and every ingestion, routing action and human override is logged end to end.
Impact
In the brief’s case walkthrough, a bank email about a delayed loan disbursement passes through ten decisions with no manual re-keying and arrives routed at 96% confidence with its full audit trail.
- Reconstructable on demand. Any case can be replayed end to end for an auditor, without relying on a staff member’s memory.
- Improves from exceptions. Reviewer corrections feed back into the taxonomy, so the system learns without a full retrain.
- One layer, eleven contexts. Banking, insurance, government, healthcare, telecom and more reuse the same layer; only the taxonomy and routing rules change.
Capabilities
Intent Understanding · Governed Taxonomies · Confidence Scoring · Explainable AI · Audit Trails · Human-in-the-Loop Review · Multilingual Triage · Regulated Deployment
Questions
Why does triage need an audit trail?
In banking, insurance and government, a regulator or ombudsman may ask why a request was classified or escalated. Manual triage leaves no record; logged AI triage leaves a reconstructable one.
How does confidence-based routing work?
Each step produces a confidence score. Items above the organisation’s threshold route automatically; items below it, or flagged as high-risk, wait for human review.
What results do comparable deployments show?
Illustrative deployments of comparable scope show up to 70% less manual triage effort and 60% faster routing to the correct owner.
Enterprises have automated everything after work is understood, not the moment it is understood.
allcontext.ai, from the dbSAMIRA case study
Could you reconstruct why last month’s complaints were routed the way they were?
See how scored, logged triage gives compliance a record it never had. Book a discovery call or write to hello@allcontext.ai.