NewInteractive Agents Live
Outsourcing & BPO

Win the AI RFP, Deliver on Every Account.

Contact center, back-office, KYC, claims, customer support, finance ops. One agent across NICE CXone, Five9, Genesys Cloud, Salesforce Service Cloud, Verint, and your client integrations, on duty 24/7 in 50+ languages.

Client #ACME · L1 ticket #14821

Resolving in real time
Audited

Client context loaded

ACME · FinServ · EU-resident

00:04
2

Policy applied

ACME tone, AML rules, GDPR scope

3

Action executed

balance update in ACME CRM

4

SLA logged

29s · within ACME tier-1 SLA

5

QA scored

92/100 against ACME scorecard

Per-client, traced end-to-end in 29 seconds

Context · policy · action · SLA · QA, closed-loop

Live

What's achievable for BPO providers with Interactive AI

0-0x

Effective Agent Capacity

0-0%

Interactions Auto-Resolved End-to-End

0%

Per-Client SLA Tracking

Full

Per-Account Audit Trail

0-0%

Unit Cost Reduction per Client Interaction

50+ languages

On the Same Floor

Every Outsourcing & BPO workflow, in production.

Start with one domain, prove it in production, then expand across the operation.

Outsourcing & BPO

Omnichannel Support

Outsourcing & BPO

Quality & Compliance

Outsourcing & BPO

Workforce Augmentation

Outsourcing & BPO

Onboarding & Ramp

Outsourcing & BPO

Reporting & SLAs

Outsourcing & BPO

Back-Office Processing

From Headcount-Bound Capacityto AI-Augmented BPO Operations.

Today

Interactive Agents

Capacity scales with headcount
Capacity scales with agent deployments
Client requests AI in the RFP, you cannot bid
AI-augmented offering wins the contract
SLA reporting reconstructed weekly
Tracked per-client, per-workload, in real time
Quality drift on peak weeks
Quality holds; capacity absorbs the spike
Languages added by hiring
Languages added by routine
Per-client integrations done by services teams over months
New client onboarded in weeks via configuration
Margin compression on every renewal
Unit-cost improvement compounds with every cycle
Different floor per client
Same orchestration layer across every account

Ready when you are

Start with a Pilot.

2-6 weeks

To live production

Fixed

Scope, Fee, Timeline

Day 1

Real customers, real data

NICE CXone
Talkdesk
Salesforce Service Cloud
Verint
Sumsub
ServiceNow
Workday
Snowflake
Slack
DocuSign
Tableau
REST APIs

Integration depth

One agent across your CCaaS, your WFM, and every client system your floor touches.

Reads your contact center, writes to your clients' CRMs, orchestrates back-office workflows, reports SLAs per account. Tabs aren't an architecture; orchestration is.

How It Works

Compounding Delivery Intelligenceyour delivery team owns

Five stages that turn each client's contract into an autonomous delivery system that gets sharper with every interaction.

Encode each client's policy, tone, and compliance into agent routines

Per-client playbooks, SLA scorecards, regulatory rules, and brand voice become deterministic routines your delivery team owns. New clients onboarded in weeks, not months.

Client Playbook

ACME · BANK · TELCO

SLA Scorecard

Per-tier targets + QA

Regulatory Profile

PCI · HIPAA · GDPR

Per-client routines readyPlaybooks encoded

Wire the agent into your delivery stack and your clients' systems

CCaaS, WFM, client CRM, client-specific data sources. Data segregation per account, read/write access scoped per client wall, residency under control.

NICE CXone

CCaaS connected

Connected

Verint

WFM connected

Connected

Client CRM

Client systems connected

Connected
CCaaS
WFM
Client CRM
Data

Ship to one client workload within the 2-6 week Pilot

Start with the workload where you need to prove AI-augmented delivery, typically L1 contact center or a back-office workflow. Success criteria agreed with the client before kick-off.

terminal
$ interactive deploy --client acme --workload l1
ACME L1 queue live
SLA scorecard tracking
QA evaluators active
Deployment
3/3 Live

Every action logged per client, per workload, per SLA

Audit trails scoped per account. Client-facing reporting in seconds. Aligned with PCI, HIPAA, GDPR, and per-vertical regulator obligations as relevant per client.

Per-Client Audit Trace
ACME
Client policy match
Tool call
SLA logged
QA scored
Tied to ACME scorecardPass

Delivery leads author the playbook per client

When the agent misfires, the trace points to the per-client rule. Delivery leads edit playbooks per account directly. No engineering ticket on the critical path of a client-policy change.

Interactions traced
0
Capacity compounding
Playbook edits
Per-client tuning
Closed-loop

Enterprise-grade

SOC 2 Type II and ISO 27001 certified · GDPR and EU AI Act in progress

AICPA SOC 2 Type II
ISO 27001 Certified

Powered by the platform

Every workload, per-client, fully traceable.

The platform underneath every BPO deployment, built for providers who answer to multiple clients, multiple regulators, and per-account scorecards in seconds, not weeks.

Per-Client Decision TracingClient-Facing Audit ExportPer-Client Playbook AuthoringPer-Client Cost AnalyticsModel RoutingPer-Client Access WallsPer-Client Quality EvaluatorsInstant Deployment

BPO Provider Questions

Common questions about deploying production AI inside a BPO operating floor. Can't find what you need?

2-6 weeks, in production. The Pilot deploys Interactive Agents on one client, one workload. Integrated with your CCaaS, the client's systems, and your SLA reporting. Success criteria agreed with the client before kick-off.

Multiply Your BPO Floor with Production AI.

Start with a 2-6 week Pilot on one client account, one workload. Full integration with your CCaaS and the client's systems, measurable SLA improvements, production traffic from week six.