sales_ops · services · workflow

From Slack Bot to Sales Brain: How Netguru Built the Omega AI Sales Agent

Netguru's sales team had critical information scattered across Slack, CRMs, call transcripts, and shared drives, slowing coordination and requiring repetitive manual effort for tasks like call prep, proposal review, and feature list generation.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User request via Slack
Omega listens in Slack channels, responds to mentions, and threads replies.
Tools used
AutoGenAWS LambdaAWS Step FunctionsTerraformAWS Systems Manager Parameter StoreSlack APIGoogle Drive APIApollo APIBlueDotLangfusePromptfooCircleCI
Outcome

Omega now supports the sales team at multiple stages of the sales process from within Slack, reducing repetitive work, adding process clarity, and improving access to information, with adoption described as frictionless.

Results
Time savedsaving time and ensuring consistency
Source

https://www.netguru.com/blog/how-we-built-an-ai-agent

How we source this →

Grounding & classification
Source type: technical build writeup
32 fields verified against source quotes.
agentic workflowcontent generationmulti agent workflowsummarizationcall recordingknowledge basebuilder submittednamed customerproduction runtime claimedtools describedworkflow describedprofessional servicesemployee productivitytime savedtechnical build writeupsales opsagentic task execution