Layer 0 · Corpus Ingestion

HDB Banking
Intelligence Framework

Intelligent Context Framework (ICF) — corpus-grounded analysis of 550 agent-customer chat transcripts, 513 complaint records, and 63 standard operating procedures. Firstsource · Intelligence that Operates.
Chat Transcripts
550
Agent-customer conversations across banking journeys — payments, accounts, disputes & more
Complaint Cases
513
3-month complaint corpus with root cause, product & agent performance data
SOP / Process Manual
63
Banking procedures — cards, payments, accounts, CASS, disputes, digital
Product Variants
5
HDB Direct, HDB Account, HDB Plus, HDB Basic, HDB One
Journey Types
10+
Payments, Balance Enquiry, Switch In, Token Management, Disputes, Overdraft & more
Qualitative Signals
6
Live chat conversations, ops team huddle notes, agent coaching logs, QA calibration sessions, customer verbatims, escalation narratives

Processing Pipeline

1
Parse — tokenise 63 SOPs, 513 complaints & 550 chat transcripts
2
Extract — identify intents, journeys, agent patterns & exceptions
3
Map — build node-edge graph from entity relationships
4
Flag — classify gaps (Process / SOP / Training / Product)
5
Synthesize — assemble ICF with advisory, KB & transcript layers
Layer 1 · Operational Analysis

HDB Banking — 550 Chats · 513 Complaints · 63 SOPs

Journey Distribution (550 chats)

Product Variants (550 chats)

Complaint Nature (513 cases)

Gap Profile

Issue Volume by Domain

Quality vs Benchmark

Top Operational Risks

Transcript Insight — Agent Patterns

Issue
Exception
System
Decision
Resolution
Layer 2 · Gap Intelligence

Gap Register — 41 Findings

4
CRITICAL
Vulnerability, Card SLA, Dispute Status, System Outage
15
HIGH
DD cutoff, ATM credit, PIN escalation, POA, Address block
22
MEDIUM
Contactless, FlexPlus fees, SO amendments, CASS codes
513
SESSIONS IMPACTED
Across 550 chats and 513 complaint records analysed
All Types
Process
SOP
Training
Product
All Severity
Critical
High
Medium
Layer 3A · SOP Decision Tool

SOP Reviews — Owner Decisions

Total 0 Incorporate 0 Ignore 0 Pending 0 Selected 0
Layer 3B · Capability Development

Training Modules & Performance Appraisals

Training Modules

Performance Appraisals

Layer 3C · Strategic Advisories

Process & Product Advisories

Process Advisories

Product Advisories

Priority × Effort Matrix

Layer 4 · Agent Knowledge Base

Knowledge Base — HDB Banking

Articles
ICF Co-Pilot
Select a category to view articles
Layer 4 · Data Deep Dive

Analytical Deep Dive — Charts & Insights

Slice the 550-complaint corpus by domain, severity, volume and remediation load.
Powered by Firstsource Intelligence

AI-Driven Interventions

Four intelligent pillars working across the customer journey — from proactive alerts to autonomous decisioning.

4
AI Pillars
23%
Projected FCR Lift
35%
AHT Reduction
£1.2M
Annual Saving
Pillar 01
Proactive Engagement
Detect risk signals before the customer calls — missed payments, failed direct debits, expiring cards — and intervene with timely alerts.
Pillar 02
Smart Routing
AI concierge classifies intent and complexity in real time, routing each customer to the optimal channel — self-service, AI chat, or specialist.
Pillar 03
AI Co-Pilot
Real-time agent assist during live chat — intent classification, knowledge surfacing, compliance guardrails and auto-wrap — all contextual.
Pillar 04
Agentic AI
Autonomous reasoning over ICF context — observe, recall, probe, reason, govern, recommend — with human-in-the-loop governance.

Intervention Overview

Each pillar addresses a distinct layer of the customer interaction — from pre-contact engagement through to post-contact intelligence. Together they form a closed loop that learns from every conversation.

How the Pillars Connect

1. Proactive Engagement detects risk signals from account data, transaction patterns and ICF context — and sends timely alerts before the customer needs to call.

2. Smart Routing classifies inbound intent and complexity in real time using the ICF entity graph, routing each customer to the right channel first time.

3. AI Co-Pilot assists the agent during live conversations with contextual suggestions, knowledge articles, compliance checks and automated after-call work.

4. Agentic AI reasons autonomously over ICF context for complex decisions — complaint risk scoring, escalation routing, proactive outreach — with human governance.

Projected Impact

68%→84%
First Contact Resolution
8:45→5:40
Avg Handle Time
3.5%→1.8%
Escalation Rate
7.2→8.6
CSAT Score

Pillar 01 · Proactive Engagement

ICF detects risk signals from account data and transaction patterns — and triggers proactive alerts before the customer needs to call.

ICF Signal Feed

Pillar 02 · Smart Routing

AI Concierge classifies intent, complexity and vulnerability in real time — routing each customer to the optimal resolution channel.

Low · Self-Service

Medium · AI Chat + Handoff

High · Specialist Agent

--:--:--ReadyAI Concierge initialised · Domain Harness loaded · ICF connected

Pillar 03 · AI Co-Pilot

Live agent assist during a customer chat — intent classification, knowledge surfacing, compliance guardrails and automated after-call work.

Co-Pilot actions: 0

Live Chat Transcript

Co-Pilot Actions

Pillar 04 · Agentic AI

Autonomous reasoning over ICF context — a transparent chain-of-thought trace for a complaint escalation risk decision.

Reasoning Trace

ICF Context Read

Entity Context
Account: HDB Direct · 6yr tenure
Prior complaints: 2 in last 90 days
Vulnerability flag: Financial difficulty
Product: HDB Direct Current Account
Channel preference: Live chat
Last contact: Disputed card transaction (unresolved)
Domain Harness Match
Rule: DH-COMP-007 — "Repeat complaint + vulnerability flag + unresolved prior → escalate to complaints specialist within 2 minutes"
Confidence: 0.91
Trust tier: Human-in-the-Loop

Recommended Outcome

Escalation riskHIGH (0.91)
Recommended actionEscalate to complaints specialist
SLA targetResponse within 2 min
Estimated cost avoided£340 (FOS referral prevention)
Trace latency1.6s total

ICF Intelligence Architecture

Five-layer stack — ICF sits at the centre, binding operational sensors below to domain intelligence above.

Layer 5 — AI-Native Operations
Agents (illustrative — varies by client) e.g. complaint triage bot, proactive outreach agent, mortgage renewal assistant
Illustrative
Layer 4 — Domain Intelligence
Domain Harness — Skills, Playbooks, Guardrails, Eval e.g. dispute resolution playbook, vulnerability handling, FCA compliance rules
Core OS
Layer 3 — Organisational Context
Intelligent Context Framework (ICF) — entity graph, gap register, decision traces, SOP alignment
Core OS
Layer 2 — Operations Intelligence
Sensors — Process, Task, Conversation, Knowledge, Doc e.g. chat transcripts, call recordings, CRM notes, QA calibrations
Core OS
Layer 1 — Raw Data & Transactions
Systems of Record + Channels (illustrative) e.g. Core Banking System, CRM, Knowledge Management, IVR, live chat
Illustrative

Why ICF is the Centrepiece

Below ICF — Operations Intelligence

Sensors observe what is actually happening on the ground: process flows, desktop activity, conversations, documents, knowledge use. For HDB this means every chat transcript, complaint narrative, and agent desktop action is captured in real time.

Above ICF — Domain Harness

Encodes 25 years of Firstsource domain expertise — skills, playbooks, guardrails — as the baseline of what should happen. For banking: dispute resolution flows, vulnerability detection rules, FCA complaint handling timelines, and mortgage servicing SOPs.

ICF Binds the Two

ICF stores the live state of every interaction, decision, exception, and outcome — closing the should-vs-did gap and feeding the learning loop. It connects what the agent actually did with what the playbook prescribed, surfacing gaps before they become complaints.

Top & Bottom — Illustrative

Agents and Systems of Record vary by client. The core value — Layers 2, 3 and 4 — is the intelligence stack that Firstsource owns and operates.

Outcome Forecast

Projected impact across key metrics — each improvement attributed to specific intervention pillars.

First Contact Resolution
68%
84%
Proactive + Co-Pilot + Routing
Average Handle Time
8m 45s
5m 40s
Co-Pilot + Routing
Escalation Rate
3.5%
1.8%
Agentic AI + Smart Routing
Repeat Contact Rate
1.0%
0.4%
Proactive + Co-Pilot
CSAT Score
7.2
8.6
All Pillars
Annual Cost Saving
Baseline
£1.2M
Proactive + Routing + Agentic