Customer Support Outsourcing
End-to-end customer support — any channel, any time zone — run as a documented function with AI-assisted workflows and human QA on every queue.
Explore customer support →
AI-assisted customer support, live chat, technical resolution and CX quality assurance — staffed around the clock so your customers never wait for a response, and your team never burns out covering shifts.
Each service is staffed with specialists who understand its rules, quality bar and failure modes — supported by AI that drafts, routes and escalates, and by human QA that verifies before anything ships.
End-to-end customer support — any channel, any time zone — run as a documented function with AI-assisted workflows and human QA on every queue.
Explore customer support →Day-to-day customer service — phone, email, chat and ticketing — handled by dedicated agents working against your tone, policies and SLAs.
Explore customer service →Tier 1 and Tier 2 technical support — AI-assisted diagnostics, documented runbooks and clean escalation to engineering only when genuinely needed.
Real-time chat handled by trained agents working multiple concurrent conversations — with AI-assisted drafting and human verification on every message.
Explore live chat →Structured email triage and response with documented SLAs, AI-assisted drafting and human verification before anything is sent.
Explore email support →Tiered help desk operations — intake, triage, resolution and escalation — supported by AI-assisted classification and documented runbooks.
Explore help desk →Front-line resolution — the majority of customer issues resolved at first contact, with clean escalation paths when a ticket needs more.
Explore Tier 1 support →Deeper troubleshooting and resolution — log review, configuration fixes, and workflow-based problem solving by experienced agents.
Explore Tier 2 support →The operational layer behind great customer experience — process design, QA, reporting and continuous improvement across every support channel.
Explore CX operations →AI-assisted support workflows — AI drafts, suggests, routes and flags; trained human agents verify and send every response.
Explore AI customer support →Our core operating model — AI + automation + human expertise + QA + accountability, applied to your support process end-to-end.
Documented QA on every queue — sampling, scoring, error tracking and coaching feedback, with weekly QA reports you can audit.
Explore customer support QA →Anyone can staff a queue. Very few providers run customer support as a managed function — documented SOPs, human QA on every output, AI-assisted workflows, and reporting you can actually audit.
We built our CX practice around those four things, because that's what produces consistent quality across every agent, every shift, every channel.
Every process runs on a written SOP — not tribal knowledge. Updates are versioned and auditable.
AI suggests responses, routes tickets, and flags issues. Trained agents verify before anything ships.
Documented QA sampling with error rates and CSAT reported weekly — you see the numbers, not just assurances.
Two-shift handoff with full context. Not extended hours — actual round-the-clock operations.
A quick reference to the core processes, quality controls and AI opportunities per service. Full detail lives on each sub-service page.
| Service | Core Processes | Quality Controls | AI Opportunity |
|---|---|---|---|
| Customer Support | Multi-channel intake, triage, resolution, escalation | Documented SOPs, QA sampling, CSAT tracking | Draft suggestions, ticket routing, priority detection |
| Customer Service | Phone, email, chat, ticketing, follow-ups | Tone & policy alignment, escalation design | Response drafting, tone checks, resolution suggestions |
| Technical Support | Tier 1 & 2 resolution, runbooks, engineering escalation | Runbook adherence, escalation hygiene, resolution rate | Diagnostics assistance, log summary, KB lookup |
| Live Chat | Concurrent chat handling, response libraries | First-response time, tone QA, resolution rate | AI-assisted drafting, intent detection, response suggestions |
| Email Support | Structured triage, response, SLA tracking | SLA adherence, backlog control, template accuracy | Draft replies, categorisation, priority flagging |
| Help Desk | Intake, triage, resolution, escalation, KB upkeep | Resolution rate, escalation rate, ticket QA | Classification, KB lookup, suggested resolution paths |
| Tier 1 / Tier 2 | Front-line resolution, deeper troubleshooting, escalation | First-contact resolution, escalation hygiene | AI diagnostics, runbook lookup, root-cause hints |
| CX Operations | Process design, QA frameworks, reporting, improvement | QA frameworks, CSAT trends, process change logs | Sentiment analysis, trend detection, QA automation |
| AI Customer Support | AI drafting, routing, flagging + human verification | Human review on every AI output, no blind automation | Core AI workflows as a managed function |
| Human + AI Support | Full operating model — AI + human + QA + accountability | QA on every output, human judgment at decision points | Where AI adds value, where humans stay final |
| Customer Support QA | Sampling, scoring, error tracking, coaching | Error rates, correction turnaround, coaching impact | QA automation, pattern detection, coaching insights |
Every CX engagement inherits the same baseline security posture, then adds process-specific controls on top.
Encryption in transit and at rest, role-based access, and least-privilege workflows across every account.
NDA-bound teams, restricted environments, and auditable access logs for every process.
AI output is reviewed by trained specialists before it reaches your customers — no blind automation.
Process-specific SLAs, QA sampling reports, and audit-ready logs from day one.
Most teams start with the highest-volume, most rule-driven channel — customer support, live chat, or email support. We can scope any of the 12 CX services as the first engagement.
AI drafts responses, routes tickets, detects priority, and suggests resolutions. Trained human agents verify, edit, and send every message. QA runs on every queue. No blind automation.
Yes. We operate inside Zendesk, Freshdesk, Intercom, HubSpot, Salesforce Service Cloud, Gmail shared inboxes and others — with role-based access set by you.
Most single-channel CX engagements go from kickoff to go-live in two to four weeks, including training and a parallel-run period.
Documented QA sampling on every queue, plus weekly reporting on first-response time, resolution rate, backlog, CSAT and error rates. AI-assisted QA accelerates the review cycle.
Yes — that's the recommended approach. Most clients start with one channel, prove quality, then expand into adjacent CX services or into other categories (back office, sales, AI operations).
A 30-minute conversation is usually enough to review channels, volumes and quality bar — and to propose a scoped first step.