Custom AI systems for real operations
Automate the work between your systems.
DevGlim designs and builds AI business automation that connects your data, CRM, communications and internal tools. We start with one measurable workflow, add AI only where it helps, and keep approvals, evidence and ownership visible.
What we build
A production workflow, not a chatbot wrapper.
AI agent development
Scoped agents that read approved context, use defined tools and hand work to people when confidence or permissions are not sufficient.
Explore capabilityWorkflow automation
Connect forms, CRMs, inboxes, documents and internal systems with deterministic rules plus AI where language or judgement is involved.
Explore capabilityCustomer and sales operations
Qualify enquiries, draft responses, book appointments and update records without hiding the evidence or the next human action.
Explore capabilityUse cases
Start with the bottleneck your team can measure.
The first release should have a clear trigger, owner, exception path and success measure. That makes it possible to test automation safely and improve it after launch.
Lead qualification
Capture, validate, enrich, score and route enquiries with a review queue for uncertain cases.
Customer support
Ground answers in approved knowledge, take permitted actions and escalate conversations with context.
Document processing
Extract fields from invoices, applications or contracts, validate them and send exceptions to a person.
CRM automation
Keep contacts, activities, tasks and pipeline data synchronized across the systems your team already uses.
How delivery works
Designed for control after launch.
- 1Map the workflow, systems, data and risks.
- 2Prototype the highest-value path with real acceptance criteria.
- 3Build integrations, guardrails, audit trails and human handoffs.
- 4Evaluate quality, latency, cost and failure cases before rollout.
- 5Document ownership, monitoring and the next iteration.
Every action needs a boundary.
We separate model suggestions from system actions, validate structured data, restrict permissions and route uncertain cases to people. The result should remain understandable when a provider, prompt or workflow changes.
See workflow architectureHave a workflow worth automating?
Bring the systems, volume and bottleneck. We will help you decide whether to configure, integrate or build.
