Scale operations with AI—without losing control.
We combine practical AI with SOPs, QA, and exception handling so your team moves faster and stays accurate.
Where AI helps most
We focus on high-volume work that benefits from speed and consistency—then we add controls so quality holds.
Ticket triage & routing
Auto-categorize, prioritize, and route requests. Surface missing info early and reduce back-and-forth.
Data validation & cleanup
Detect duplicates, normalize formats, and flag anomalies. Deliver structured outputs for Sheets/CSV/CRM.
Exception detection
Spot outliers and risky cases so humans review what matters—rather than scanning everything.
Document handling
Extract key fields, apply rules, and route items for approval. Maintain traceability and re-checks.
Knowledge base upkeep
Keep macros, SOPs, and FAQs current—so responses stay consistent as products and policies change.
Summaries & handoffs
Create clean handoff notes, client summaries, and status updates with standard templates and QA.
How we implement (AI + humans + QA)
We don’t “sprinkle AI” on a broken workflow. We stabilize the process first, then automate safely.
Inputs, outputs, edge cases, tools, owners, and success metrics.
Accuracy targets, sampling plans, and escalation thresholds.
Classification, validation rules, templates, and routing logic.
QA scoring, exception logs, tuning, then scale after stabilization.
Controls & governance
Operational improvement only counts if it’s reliable. We design for repeatability and auditability.
Quality assurance
- QA scoring and defect categories
- Sampling plans matched to workflow risk
- Root-cause tracking and corrective actions
Security discipline
- Least-privilege access and documented roles
- Audit-friendly handoffs and checklists
- Exception logs with ownership and closure loops
Typical deliverables
You’ll get a process that runs cleanly—plus the artifacts that make it easy to manage and scale.
SOPs & playbooks
Documented workflows, edge cases, and escalation rules.
QA framework
Accuracy targets, sampling, QA scorecards, and defect taxonomy.
Reporting
Turnaround time, SLA compliance, quality trends, and exception volumes.
FAQ
Is this fully automated or human-led?
AI accelerates repetitive steps. Humans handle judgment calls, edge cases, and QA where accuracy matters.
What tools can you work with?
We adapt to your stack—helpdesks, CRMs, spreadsheets, and internal systems—within your access constraints.
How do you manage risk and privacy?
Least-privilege access, documented roles, audit-friendly checklists, and clear exception ownership.
How fast can we start?
We can begin with a small pilot, stabilize the workflow, then scale after metrics are consistently on target.