CX Management
AI Enabled Agent Tools
Give service and sales teams timely summaries, trusted knowledge, and useful guidance inside the tools they already use.
More confident teams
What we deliver
Augment agents throughout the interaction lifecycle
Live assistance
Surface relevant knowledge, required disclosures, recommended actions, and workflow prompts based on live context.
Automated after-call work
Generate editable summaries, dispositions, follow-ups, and system updates with confidence checks and auditability.
Supervisor intelligence
Detect coaching opportunities, emerging issues, quality risk, and knowledge gaps across interactions.
Challenge → response
OPERATING SIGNALS
MONITORED
Challenge 01
Identity, interaction history, policy, orders, billing, and workflow are scattered across screens and manual lookups.
Gatestone Digital response
Assemble the customer context, work state, permissions, and recommended actions needed for the current intent.
Challenge 02
Long searches return outdated articles while agents interpret policy under time pressure and inconsistent coaching.
Gatestone Digital response
Use retrieval, summarization, citations, and contextual prompts tied to approved content and transactional facts.
Challenge 03
Generated actions can exceed authority, miss required disclosures, or create errors that are difficult to trace.
Gatestone Digital response
Apply permissions, confidence thresholds, confirmation, auditability, monitoring, and feedback loops to every assisted workflow.
Enterprise Perspective
Agent assistance is a knowledge, workflow, and evaluation product
Agent Assistance System
A grounded path from high-friction work to trusted in-workflow intelligence
01
02
03
04
01
Baseline the work
Identify high-volume decisions, failure modes, search effort, after-call work, and moments where expertise is scarce.
02
Prepare trusted knowledge
Structure approved content, ownership, permissions, freshness rules, citations, and feedback paths for retrieval.
03
Design the assistance
Define when the system should retrieve, summarize, draft, recommend, ask for confirmation, or escalate.
04
Connect the workflow
Integrate customer context, CRM, case history, knowledge, and approved actions with least-privilege access.
05
Evaluate with experts
Test representative cases, edge conditions, policy constraints, and model behavior with frontline and risk specialists.
06
Operate improvement
Monitor quality and adoption, capture corrections, refresh knowledge, and expand autonomy only when the evidence supports it.
Higher-quality work with agents still accountable
The tool reduces cognitive load and routine effort while keeping people in control of consequential decisions.
Technology ecosystem
Trusted platforms. Thoughtful delivery. A faster path to value.
We combine leading cloud, data, AI, CRM, and CX platforms with Gatestone’s customer operations experience to move from strategy to production and keep improving after launch.
PLATFORMS WE WORK WITH
Fin
TCN
Aryza
Microsoft
Google Cloud
Claude
aws
Outcome architecture
Define the business decision, experience, and operating metric before choosing technology.
Governed integration
Connect identity, data, workflow, and permissions so AI can operate safely in context.
Adoption and optimization
Instrument performance, train teams, and improve continuously after launch.
How it works
Agent assistance that fits existing work
Grounded knowledge retrieval
Return concise answers from approved sources with permissions, freshness controls, and source traceability.
Conversation summarization
Workflow coordination
Quality automation
Trust and governance
Assistance with human accountability
Recommendations remain reviewable, explainable, and bounded by role, policy, and confidence thresholds.
Agents approve consequential outputs
Permission aware access to enterprise knowledge
Evaluation for accuracy, bias, and policy adherence
Trust and governance
GOVERNED
04