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Intelligent Operations
AI-first | Outcome-led | Human-governed

Intelligent Operations

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Altimetrik's Intelligent Ops delivers an AI-first operating model for enterprise processes

Clients

30+

Fraud losses reduced; false positives down 53%; hold-to-fraud rate to 30% at a top regional bank.

5

Super regional banks in the US

Largest

Enterprise banking technology provider in the US

People & Presence

265+

Practitioners

20+

Delivery locations across India, APAC, Europe, and Americas

Supported by Altimetrik's Scale

10,000+

Practitioners across Data, Digital, and AI

AI-first

approach
outcomes

Measurable outcomes that we deliver

Fraud ops

−80%

Fraud losses reduced; false positives down 53%; hold-to-fraud rate to 30% at a top regional bank.
Treasury

4.5→1.6d

Turnaround compressed via follow-the-sun operations and workflow automation.
Card disputes

−57%

AHT reduced and 4× volume handled with AI-led prioritization and automation.
Control testing

100%

Backlog cleared, fully current, and lead times improved by 52%.
GL reconciliation

25K+

Aged breaks cleared with quality lifted above 99%.
Process documentation

1,200+

Processes standardized; SME dependency cut; automation and transition unlocked.
Small business endorsements

45K/mo

Automated requests; 95%+ accuracy; ~70% headcount reduction; ~30% YoY ROI.
Quote processing

$40M+

Annual impact; quote turnaround from 2–3 weeks to under 3 days; 4,200 RFQs/month.

Discover How We Engineer Intelligence

Contact Our AI Experts
Service

Two Service Areas

Intelligent Business Operations

Operate core business processes — improving accuracy, speed, control, and cost efficiency.
  • Fraud & financial crime ops
  • Payments & card operations
  • Risk management & control testing
  • Merchant operations
  • Client lifecycle (KYC, onboarding)
  • Reconciliation
  • Finance & accounting
  • Enabling ops: documentation, mapping, annotation
UI Component Rework

Intelligent Customer Operations

Transform customer operations — automating interactions and elevating experiences.
  • Customer journey redesign & channel optimization
  • Interaction systems across voice, chat, email
  • Contact center operations
From reactive support to intelligent, proactive engagement

We combine domain knowledge and process operations experience with AI into a single accountable model

Three Value Levers

Reengineering & Harmonization

Mine, diagnose, redesign, standardize processes, and remove non-value work

Augmented Operations

Stabilize, govern, optimize, and scale operations

Transformation

Deploy automation, agents, and decision intelligence into execution.
Our operating model

Value at source

Upstream consulting across process, experience, demand drivers, bottlenecks, and controls

AI-agent-first delivery

AI agents act as primary operators wherever possible; humans focus on governance, exceptions

Improvement focused lifecycle

Continuous optimization of cost, speed, quality, compliance, and control

Full-stack accountability

Domain operations, engineering, accelerators, governance, and delivery

Two paths — transform before you run, or stabilize before you evolve

Path 1

Reimagine & Operate

Discover & Diagnose

Map current state, quantify process waste, audit tech

Reimagine

Zero-based redesign, AI-native architecture

Transform

Deploy agents, automation & decision intelligence
Value at source — step-change unlocked before operations begin
Best when: the process needs fixing, or transformation appetite exists
Path 2

Operate & Evolve

Transition & Stabilize

Mirror process, absorb knowledge, hold SLAs

Operate

Run consistently, build process fluency

Infuse AI

Layer in automation, agents & analytics
Value through maturity — incremental gains that compound over time
Best when: continuity is non-negotiable and transition is complex

Intelligent Operations · AI-assisted humans, continuously optimized, outcomes-accountable

Our accelerator stack for agent creation, orchestration, voice AI, and document intensive workflows

Document intelligence

DExTr

Extract, classify, summarize, apply rules, and generate outputs from any document workflow.
Agentic workflows

Agentic Document Processing

Ingest, understand, act, reflect, and learn. Closed-loop agents for high-volume processes.
Customer engagement

Voice AI & Agentic Interactions

Multimodal voice, chat, and email agents with seamless AI-to-human handshake.
Operations intelligence

AI-Led Workflow Suite

Prioritization, automation, real-time prompts, knowledge retrieval, reporting, and workforce management.

Delivering scalable solutions and quantifiable outcomes across functions and processes

Success Story
Challenge
Operating model deployed
Business Impact
Significant Ops loss reduction in
Fraud Ops
  • High Ops Loss due to Fraudulent Items
  • High false positive Hold rates
  • Customer dissatisfaction
Domain led Ops Model supported by Data Analytics and Automation

43% reduction in false positive

Hold to fraud improved to 30%

Reduce Treasury Management setup \turn time from 4.5 to 1.6 days
  • Delayed setup issues due to multiple rejects, repetitive processes and Multiple handovers
  • High manual effort and human-induced errors
Workflow enhancement and Followthe-Sun Model

50% reduction in manual effort from automation

>97% accuracy

Adherence to OCC guidelines and
strengthen Ops controls
  • Overdue risk review and controls gaps
  • Manual intensive review and induced errors
Process streamlining and standardization supported by automation

Adherence to Control Testing calendar

Meet OCC guidelines and expectations

55% increase of process efficiency
  • High Processing Cost
  • Delays in addressing incomplete requests
AI solutions enabled with HITL

57% AHT Reduction

30% YoY cost saving

Cover late deposits and enable same day transmission of check deposits
  • Team works long shifts due to multiple deposit windows
Intelligent Staffing model

Improved customer experience

Quick account migrations and
achieve timely acquisitions
  • Large volumes of migration to be completed to meet Fed and Board timelines
  • Customers may get impacted during migration
Quick Staffing supported by command center to address customer issues

Zero profile migration disruption

Automation pipeline for ongoing projects

Process standardization with
Knowledge management and gap
identification
  • Audit team identified several gaps with Bank Ops procedures
Standardization of processes by
Domain expertise led process
documentation

Minimize SME dependency

Transition and automation of documented processes

Clear Backlogs and streamline
Reconciliation process
  • Large backlog volumes of aged breaks
  • High Manual process and prone to humaninduced error
Domain expertise led Ops with
focused projects and AI Automation

Standardization of critical steps of the process

Quality upliftment of the process to 30%

Tabbed by function

Focused challenge → model → impact
The original three columns survive — but only for the function you pick, so you read two or three transformations at a time instead of thirty-two cells. Panels cross-fade on switch. Best for guided storytelling.
Proven outcomes

Delivering scalable solutions and quantifiable outcomes across functions and processes

The challenge
Operating model deployed
Business impact

Fraud operations loss reduction

  • High Ops loss from fraudulent items
  • High false-positive hold rates
  • Customer dissatisfaction
Domain-led Ops model, supported by data analytics & automation

43%

fewer false positives
43% reduction in false positives
Hold-to-fraud ratio improved to 30%

Stronger controls & OCC adherence

  • Overdue risk reviews and control gaps
  • Manual-intensive review with induced errors
Process streamlining & standardization, supported by automation
✓
OCC-aligned
Adheres to the control-testing calendar
Meets OCC guidelines & expectations
The challenge
Operating model deployed
Business impact

Faster treasury management setup

  • Delayed setup from repeat rejects & multiple handovers
  • High manual effort and human-induced errors
Workflow enhancement + Follow-the-Sun operating model

1.6d

setup, from 4.5 days
50% less manual effort through automation
Over 97% processing accuracy

Higher processing efficiency

  • High processing cost
  • Delays addressing incomplete requests
AI solutions enabled with human-in-the-loop (HITL)

55%

more efficient
57% average-handle-time reduction
30% year-over-year cost saving

Reconciliation backlog clearance

  • Large backlog of aged breaks
  • Manual process prone to human error
Domain-expertise-led Ops with focused projects & AI automation

30%

quality uplift
Process quality uplifted to 30%
Standardized critical process steps
The challenge
Operating model deployed
Business impact

Same-day check deposit coverage

  • Long shifts driven by multiple deposit windows
Intelligent staffing model

Same-day

deposit transmission
Same-day transmission of check deposits
Improved customer experience

Rapid account migrations

  • Large migration volumes vs. Fed & Board timelines
  • Customer-impact risk during migration
Quick staffing backed by a command center for customer issues

Zero

migration disruption
Zero profile-migration disruption
Automation pipeline for ongoing projects

Process standardization & knowledge management

  • Audit found several gaps in Bank Ops procedures
Standardization via domain-expertise-led process documentation

Lower

SME dependency
Minimized SME dependency
Transitioned & automated documented processes
insights

Our latest thinking

Blogs

Payments Modernization Is a Structural Reset; Not a Technology Upgrade

For decades, payments infrastructure operated as invisible plumbing stable, reliable, and largely unchanged. Today, that foundation is under systemic pressure.
Read More
Case Studies

Intelligent Fraud Operations: A Large Multi-State Regional Bank Cuts Operational Losses by 57% in Two Years

Deposit fraud losses at US regional banks are primarily detection and investigation problems. Most banks have the data; what they lack is the process architecture to turn that data into precise, fast, low-friction decisions.
Read More
News

AI exposes the M&A integration gaps that governance must fix

AI is exposing a hard truth about mergers and acquisitions: technology integration challenges don’t disappear after a deal closes, they get amplified. This article explores why AI often magnifies gaps in data, governance, and access controls, and why successful M&A outcomes depend less on AI adoption and more on building the right foundations first.
Read More

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Amit singh

“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.

With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.

Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”

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