NPS uplift
Agentic CX operations built to own outcomes
Multi-agent networks that take a workflow from first step to final resolution, across every application you run.
5–15 points
25–80%
Lower cost-to-serve
60–300%
Higher conversion rates
2x–10x
Workforce productivity gains
ISG Provider Lens™
Leader for Contact Center - Customer Experience Services
NelsonHall NEAT
CX Services Transformation
WHY THIS MATTERS
The constraints crippling agentic CX transformation right now
Your agents are still switching between systems, routing cases manually, and working around automation that was never built to go far enough.
59%
AI onboarding support failure
Customer service organizations fail to provide ongoing training and coaching to help advisors navigate AI-driven workflows. The agentic tools are deployed. The people running them are not ready for them.
Calabrio State of the Contact Center Study, 2025
46%
Static containment gaps
Consumers state automated self-service channels fail to deliver successful touchless resolution. Rule-based automation reaches its ceiling precisely where agentic networks take over.
Source: Pega & YouGov Consumer AI Survey Report, 2026
88%
AI budget escalation
Executives are increasing AI budgets because current operations are strained. The investment is approved. The architecture capable of delivering on it is not yet in place.
Source: PWC AI Agent Survey, 2025
PROVEN OUTCOMES
Agentic CX that performs in production, not just in a pitch
Hard outcomes from live enterprise agentic deployments across industries.
80%
Transactional query turnaround cut
Automated payment processing and exam rescheduling handled end to end, eliminating manual handoffs across the service desk.
85%
Query resolution speed accelerated
Autonomous document extraction and validation loops eliminated manual errors across complex ISA transfer workflows.
90%+
First contact resolution faster
Agentic networks resolved high-frequency customer issues end to end, without routing through manual queues.
capabilities
CX capabilities that extend agentic operations gains
Agentic intelligence delivers more when it connects to your wider customer operation.
Conversational AI & self-service
Intent-driven automated multi-channel engagement structures engineered to drive touchless resolution and frontline containment.
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Agent copilot & real-time intelligence
Live advisor desktop prompt overlays that inject contextual next-best-actions directly into complex customer conversations.
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WHO WE SERVE
Customer operations aren’t one-size-fits-all
We design CX systems around your customers, channels, and constraints, not generic frameworks.
Banking and financial services
Origination to compliance, rebuilt
Process mining and digital twin across client onboarding, KYC, lending, and risk operations. Workflows redesigned for AI-native automation that cuts cycle time and cost-to-serve without breaking audit trails.
Communications
Provision, bill, serve. Faster.
Process redesign across order management, provisioning, billing, and customer service for telco, Wi-Fi, and broadband operators. Automation mapped to the redesigned workflow, so call times and truck rolls drop together.
EdTech
Learner to ledger, redesigned
Process redesign and automation across admissions, enrolment, and learner support, alongside finance, compliance, and workforce operations. Built to scale student volume without scaling the back office.
SOLUTION DETAILS
From workflow discovery to autonomous execution
From the workflows your agents connect manually today, to the multi-agent networks that complete them autonomously tomorrow.
Every workflow your agents currently run manually, mapped and assessed for automation.
Breaks down complex, full-stack customer lifecycle pathways into precise atomic tasks and reusable agentic definitions through on-ground process walkthroughs.
By utilizing the specialized Xplore module, this discovery phase acts as a centralized repository that hosts fine-tuned artificial intelligence task models, allowing enterprise teams to assess process automation readiness and select optimized workflows before deploying multi-agent code.
By utilizing the specialized Xplore module, this discovery phase acts as a centralized repository that hosts fine-tuned artificial intelligence task models, allowing enterprise teams to assess process automation readiness and select optimized workflows before deploying multi-agent code.
The right model for each workflow, validated before it touches a live customer
Customizes interaction quality parameters by choosing and contrasting specific outputs across separate generative model families simultaneously.
The platform evaluation tier tests prompt-agnostic behaviors, allowing business users to validate task execution accuracy and minimize input sensitivity through fine-tuned data sets before checking code logic paths or moving models into active communication networks.
The platform evaluation tier tests prompt-agnostic behaviors, allowing business users to validate task execution accuracy and minimize input sensitivity through fine-tuned data sets before checking code logic paths or moving models into active communication networks.
Sub-agents coordinated across your applications, completing multi-step workflows end-to-end
Binds autonomous sub-agents, distinct skill maps, and cross-application tool parameters together visually within an integrated orchestration network.
The Weave engine structures advanced agent-to-agent communication protocols where root orchestrators pass data to specialized billing, history, or validation agents, executing multi-step processes end-to-end across multiple core software environments without manual clicks.
The Weave engine structures advanced agent-to-agent communication protocols where root orchestrators pass data to specialized billing, history, or validation agents, executing multi-step processes end-to-end across multiple core software environments without manual clicks.
Every agentic interaction governed, protected, and compliant by design.
Protects information integrity across separate interaction stages by embedding secure data gateways and continuous context memory layers.
The integration layer intercepts event-driven data flows, checking transcripts and account fields for protected identifiers or malicious injections while enforcing strict policy adherence parameters to future-proof customer communications against hallucination drifts.
The integration layer intercepts event-driven data flows, checking transcripts and account fields for protected identifiers or malicious injections while enforcing strict policy adherence parameters to future-proof customer communications against hallucination drifts.
Performance tracked across 35 indicators, with every exception feeding improvement.
Drives continuous operating performance improvements by tracking model execution telemetry against thirty-five dedicated performance indicators.
The central monitor platform compiles precise execution logs from every endpoint, highlighting exception trends and human-in-the-loop validation actions to feedback real-time adjustments straight back into core instruction stores and enterprise scorecards.
The central monitor platform compiles precise execution logs from every endpoint, highlighting exception trends and human-in-the-loop validation actions to feedback real-time adjustments straight back into core instruction stores and enterprise scorecards.
INSIGHTS
Latest from the Firstsource team
Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
Case Study
How a multi-state US electric utility accelerated $305M through digital outreach
A large, multi-state US electric utility partnered with Firstsource to modernize its collections and customer outreach operations through digital communications. The objective was to supplement existing mailed and field-based processes with timely, electronic outreach that could expand customer response windows, encourage self-serve payments, and reduce reliance on field activity.
Contact us
Your workflows still wait on a human. Find out which ones don't have to.
In four weeks, you'll know exactly which workflows are ready for autonomous execution — and how to deploy them.
- See precisely which manual workflows, routing decisions, and validation steps your operation could automate today.
- Diagnosed against your actual workflow architecture and automation readiness, not a generic AI maturity model.
- An agentic fix you can act on in weeks, priced on the autonomous outcomes we deliver, not the time we spend getting there.