What it actually takes to ship a production AI agent in 2026
Beyond the demo. The five engineering disciplines that separate AI agents you put in front of customers from the ones that stay in dev forever.
Read the full post → Common Challenges
What we see in call center organizations.
The patterns that come up in nearly every call center engagement.
01
Voice and AI integration
Connecting voice systems, AI agents, conversation analytics, and CRM into one operating model is hard. Done well, the operational gains are dramatic.
02
Agent ramp and attrition
Contact centers run on agent productivity and retention. AI augmentation helps both — when implemented thoughtfully.
03
Quality monitoring at scale
Manual QA on a tiny sample of calls is the legacy model. Conversation AI can score 100% of calls against quality criteria.
04
Cost-per-contact pressure
CFOs are watching contact center cost. AI deflection, when done right, changes the math without sacrificing customer experience.
05
Workforce management and scheduling
Forecasting volume, scheduling agents, and managing shrinkage are operational disciplines technology should support — and often does poorly.
06
Compliance recording and PCI/HIPAA scrubbing
Call recording brings compliance obligations. Automating PCI/HIPAA scrubbing is technical, critical, and often half-done.
How We Help
What we deliver for call center leaders.
Service Cloud Voice + Agentforce
Unified agent desktop with real-time transcription, sentiment, AI suggestions, and CRM context — built on Service Cloud Voice + Agentforce.
AI virtual agents for tier-1
Production AI agents handling routine inquiries — password resets, order status, account changes — with proper escalation to humans when needed.
100% AI-powered QA
Conversation analytics scoring every call against quality, compliance, and coaching criteria — with humans focused on the cases that need them.
Real-time agent coaching
In-call AI coaching surfacing next-best-actions, knowledge articles, and compliance prompts when agents need them.
Workforce management integration
WFM platform integration with Service Cloud Voice for unified scheduling, forecasting, and intraday management.
Compliance recording automation
Automated PCI/HIPAA scrubbing, retention management, and audit-ready recording infrastructure.
Compliance & Regulatory Matters
What we navigate in call center.
Compliance and regulatory considerations are built into every workflow we deliver. The major frameworks we work within:
TCPA / Do-Not-Call
DNC list scrubbing, time-of-day restrictions, express consent capture, and call frequency limits enforced in dialer.
Call Recording Consent Laws
Two-party consent states, recording disclosures, and storage compliance with retention enforcement.
PCI DSS (Payment Handling)
Pause-and-resume recording, agent-assisted payment, and IVR payment workflows that minimize cardholder data environment scope.
FDCPA / Reg F (Collections)
Validation notices, frequency caps, time-of-contact restrictions, and consumer disclosure workflows for collection calls.
FCRA (Consumer Reporting)
Permissible purpose verification, dispute handling workflows, and adverse action notice automation.
GDPR / CCPA Voice Data
Voice data handling, retention enforcement, transcription privacy, and DSR workflows for call recordings.
Signature Service Categories
The major call center practices our team runs.
Each category represents a deep specialization with dedicated playbooks, accelerators, and experienced practitioners.
01
Contact Center Modernization
Service Cloud Voice, omnichannel routing, unified agent desktop.
02
AI Virtual Agents
Agentforce, voice AI deflection, and human-in-the-loop escalation patterns.
03
Quality Management & QA
100% AI-powered call quality monitoring with human review focus.
04
Workforce Management
WFM integration, scheduling, forecasting, and intraday management.
05
Agent Productivity & Coaching
Real-time AI coaching, knowledge assistants, and conversation intelligence.
06
Compliance & Recording
PCI/HIPAA scrubbing, retention management, audit-ready infrastructure.
Platforms & Tools
The technology stack we typically deploy here.
Salesforce Service Cloud Voice
Salesforce Agentforce
Amazon Connect / Genesys / Five9
NICE / Verint WFM
Conversation analytics platforms
Real-time coaching tools
Compliance recording platforms
Integration Ecosystem
The platforms we connect to in call center.
Our team carries hands-on experience across the systems that already run your call center function. Integration is rarely the bottleneck.
Genesys Cloud CX
NICE CXone
Five9
Talkdesk
Amazon Connect
Twilio Flex
Avaya OneCloud
RingCentral Contact Center
Cisco Webex Contact Center
Salesforce Service Cloud Voice
Verint
Calabrio
Observe.AI
Cresta
Level AI
Aircall
Dialpad
Convoso
What We Measure
The KPIs that matter for call center success.
Every engagement starts by defining how success will be measured. These are the metrics we typically baseline before we begin and improve over time.
- Average wait time
- Abandon rate
- AHT (average handle time)
- First-call resolution
- CSAT
- AI deflection rate
- Agent ramp time
- Quality scores
Recent Engagements
Real work for call center teams.
A few examples of how these capabilities show up in practice — drawn from recent and active engagements.
01
Service Cloud Voice deployment for a 250-agent contact center
Replaced a legacy CTI integration with Service Cloud Voice — unified agent desktop, real-time transcription, sentiment analysis, and next-best-action prompts. AHT down 22%; agent screen-toggling eliminated.
02
AI virtual agents for tier-1 inquiry deflection
Deployed Agentforce-powered virtual agents handling order status, account changes, and routine FAQs across voice and chat. Currently deflecting 64% of routine inquiries with full case context passed to humans on escalation.
03
100% AI-powered call quality monitoring
Deployed conversation analytics to score every call against compliance, customer experience, and coaching criteria. Human QA team now focuses on the 5% of calls flagged by AI; quality scores up 15 points.
04
WFM integration for a 500-agent contact center
Integrated NICE WFM with Service Cloud Voice for unified scheduling and intraday management. Adherence up 12 points; shrinkage down 8%.
05
AI knowledge assistant for agent productivity
Deployed a Claude-powered agent assistant providing real-time answers from product docs and knowledge base. New agent ramp time cut 40%; AHT down 18%.
How Clients Engage Us
Four ways to work with us on call center initiatives.
From short diagnostics to fractional leadership, every engagement model is built around your stage and needs.
Model 01
Contact Center Audit
Operations assessment across AHT, FCR, agent productivity, and AI opportunity.
Model 02
Fixed-Scope Project
Service Cloud Voice deployment, Agentforce, QA automation, or WFM integration.
Model 03
Managed Contact Center Operations
Ongoing platform administration and optimization.
Model 04
Fractional Contact Center Leadership
Senior contact center operations leadership.
Outcomes We Deliver
The metrics we actually move for call center teams.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
01
Average handle time
Reduce 15-30%
02
After-call work time
Reduce 30-60%
03
First call resolution
Increase 10-25 points
04
Quality scores
Increase 5-15 points
05
Agent attrition rate
Reduce 10-25 points
06
QA coverage
Increase from <10% to 100% with AI
Signature Frameworks
Proprietary methodologies for call center work.
Every engagement leverages reusable assets — frameworks, blueprints, and diagnostics built up over hundreds of client projects.
Framework 01
Contact Center Reference Architecture
A blueprint for connecting telephony, CRM, knowledge, workforce management, and analytics into a coherent operating environment.
Framework 02
Agent Assist Operating Model
Our framework for deploying AI-powered agent assist — real-time prompts, knowledge retrieval, and post-call summarization that actually saves time.
Framework 03
QA Reference Design
A reference pattern for moving from sampled QA to 100% AI-assisted QA with focused coaching workflows.
Framework 04
IVR / Chatbot Containment Blueprint
A practical framework for designing self-service that contains volume without frustrating customers.
Case Study
A recent call center success story.
AI & Technology Consulting
How a national diagnostic provider deployed two production AI agents in 90 days
A national diagnostic provider deployed Salesforce Agentforce agents handling 63% of routine contact center inquiries, freeing reps for clinical conversations.
63%
Auto-resolved
-22%
Handle time
90 days
To production
Featured Insight
Insight & analysis from our call center team.
Practitioner-level analysis from the consultants delivering the work.
AI Implementation
What it actually takes to ship a production AI agent in 2026
AI Implementation
How We Work
The engagement model.
Predictable phases. Clear deliverables. No surprises.
01
Discovery
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
02
Design
Documented solution architecture, technical design, realistic timeline, and a transparent commercial proposal — reviewed with your team before any build.
03
Build
Configuration, development, integrations, data migration, AI training, and QA — delivered in iterative sprints with weekly demos and adjustments.
04
Launch & Optimize
Training, change management, hypercare support, and continuous improvement. We do not disappear after go-live. Most engagements continue into managed services.
Our Capabilities
The five practices that support your call center work.
Systems Integration
Connect the systems that run your business — CRM, ERP, billing, data, AI, analytics — into one cohesive architecture.
Learn more →Custom Development
Custom applications, platform extensions, integrations, and engineered solutions built when off-the-shelf software won't fit.
Learn more →AI & Technology Consulting
Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy — all under one practice.
Learn more →Revenue Operations
Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
Learn more → More Departments
Other functions we support.
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