Workflow and exception mapping
Document triggers, inputs, decisions, systems, owners, exceptions, approvals, and the measurable baseline before automating.
✓AI automation agency
AI automation agency for workflows that need to scale.
Automation is useful when it changes the time, quality, or capacity of a workflow. We combine AI judgment with deterministic rules and keep people in control of decisions that should not be delegated.
Agents + rulesjudgment where it helps
Integrationsactions in existing systems
Approvalspeople retain accountability
What we deliver
Built around the use case, not the buzzword.
Sketric designs AI workflow automation with agents, business rules, integrations, approvals, observability, and reliable human handoff for real operations.
Agent and rules engineering
Use AI where language, context, or judgment matters and deterministic logic where the outcome must remain predictable.
✓System and channel integrations
Connect CRM, support, messaging, documents, calendars, databases, internal APIs, and the interfaces where people supervise work.
✓Evaluation and automation operations
Track completion quality, exceptions, handoffs, latency, cost, traces, failures, and the impact on the original process measure.
✓Where this creates leverage
A strong fit when the difficult part is the whole system.
We scope delivery around the operating reality, the people responsible for it, and the evidence needed to make the next decision.
A recurring process consumes high-value team time
Research, triage, extraction, drafting, routing, follow-up, or reporting repeats often enough to justify a reliable workflow.
The work spans several tools and handoffs
The automation needs context and actions across systems rather than another disconnected chat window.
Exceptions make simple scripts too brittle
AI can interpret unstructured inputs while clear rules, confidence thresholds, and people handle the cases that require control.
Evidence in production
Proof from products and client systems.
Owned applications and selected client work show how AI decisions behave after launch.
Sketric-owned platform
SketricGen
We operate our own system for building agents, tools, knowledge, channels, and coordinated AI workforces.
↗ Applied computer visionProduction-line object counting
A historical prototype that turns recorded line video into structured counts and reviewable outputs with explicit validation limits.
↗Questions teams ask
Useful answers before the first call.
Direct answers for teams deciding whether an AI system is worth building.
What does an AI automation agency do?+
It redesigns recurring business workflows around AI, rules, integrations, approvals, exception handling, and measurement, then builds and operates the resulting system.
What processes can be automated with AI?+
Good candidates often include support triage, knowledge retrieval, document processing, research, qualification, drafting, routing, follow-up, reporting, and operations tasks with repeatable inputs and outcomes.
Does AI automation replace the people in the workflow?+
Not necessarily. Many valuable systems remove repetitive steps, prepare decisions, or coordinate work while people retain approval, relationship, safety, or accountability responsibilities.
How much does an AI automation agency charge?+
Pricing depends on workflow breadth, integrations, data preparation, permissions, channels, exception handling, evaluation, and support. We scope the narrowest valuable workflow before estimating implementation.
How do you know whether an AI automation is working?+
We compare the production workflow against a baseline such as completion time, handling capacity, error or escalation rate, quality, cost per task, response time, or conversion.
Have a project in mind?
Bring us the workflow, constraint, or ambitious idea.
We will help identify the narrowest useful starting point and the evidence needed to move forward.
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