AI by Industry
AI for Customer Support
Deflect repetitive tickets with grounded answers, then escalate edge cases to humans with context intact.
Industry Problems
Where teams get stuck
Common bottlenecks we see before AI workflows are implemented.
Repetitive tickets
Support teams spend time answering the same questions across channels, slowing response times.
Inconsistent answers
Without grounding, assistants can guess or conflict with your policies, creating risk.
Slow routing and escalation
High-priority tickets get buried without reliable triage and structured fields.
Limited visibility
Quality and costs drift without eval baselines, logging, and alerting.
AI Solutions
What we build
Implementation-ready modules designed for reliability, safety, and real operations.
RAG support bot with citations
Ground responses in docs and policies, include citations, and fall back safely when uncertain.
Ticket triage and routing
Classify intent and urgency, populate structured fields, and route to the right queue.
Escalation with context
Hand off to humans with transcript, summary, and suggested next steps.
Monitoring + evals
Add tracing, quality measurement, and regression checks to prevent silent failures.
Stack
Suggested implementation stack
A practical stack we can adapt to your constraints and existing systems.
Automations
Example automations
A few workflows that usually deliver ROI quickly.
Deflect FAQs with grounded answers
Auto-route tickets by intent and priority
Escalate edge cases with context handoff
Sync outcomes to CRM and dashboards
Monitor quality and cost over time
Start with evidence
Begin with a focused opportunity sprint
In 1–2 weeks, we map one consequential operation, test its automation case, and define a governed implementation plan before a larger build.
Standard
AI delivery standard
Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.
Logging + tracing
Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.
Guardrails + safety
Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.
Evals + regression tests
Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.
Cost + latency controls
Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.
Documentation + handoff
Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.
Security-first integration
Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.
Engagement
A deliberate path from evidence to production
The sprint is the fixed entry offer. Pilot and rollout ranges are planning bands; exact scope, price, and commitments are confirmed in a signed proposal.
$3k–$5k Automation Opportunity Sprint
$15k–$25k production pilot after scope validation
$25k–$50k+ rollout and integration after pilot evidence
Timelines
Scope before committing the calendar
Only the opportunity sprint has a standard delivery window. Larger timelines depend on systems, data access, controls, and acceptance criteria.
Opportunity Sprint: 1–2 weeks
Pilot timeline: confirmed from integrations, risk, and acceptance criteria
Rollout timeline: confirmed after pilot evidence and stakeholder planning
First engagement
Start with the Automation Opportunity Sprint
One premium entry point keeps the decision focused on business value, operational risk, and a credible production path.
Compare
Decision guides
Quick comparisons to help you choose the right approach before building.
Related Services
Explore deeper implementations
When you need more depth than a pilot, these services cover full delivery.
FAQ
Frequently asked questions
Will this replace our support team?
No. The goal is to deflect repetitive tickets and improve routing, while escalating complex cases to humans with context preserved.
Can you connect to our helpdesk and CRM?
Yes. We can integrate with common helpdesk and CRM tools via API/webhooks. Scope depends on your plan/permissions and desired actions.
How do you reduce hallucinations?
We use grounding (RAG), validation, safer fallback patterns, and evaluation baselines to measure and improve quality.
Can we start with a small pilot?
Yes. A fixed-scope pilot is a common approach to validate ticket deflection and routing before scaling.
Ready to identify the right automation opportunity?
Start with the $3k–$5k Opportunity Sprint and leave with an evidence-backed implementation decision.