Work
Engagement archetypes real patterns, honest context.
The types of engagements Blackflowcode.ai delivers, the industries they come from, and the enterprise background that makes the difference between a demo and a system that runs in production.
A note on case studies.
Most agencies at this stage fabricate case studies with generic industry logos and invented metrics. We won't do that. The archetypes below reflect real engagement patterns: actual stacks, actual problem shapes, representative timelines, without client names until we have permission to share them.
If you need references, Neno will connect you directly with past clients during the discovery call. That is how trust should work.
Engagement archetypes
What we build and for whom.
Four representative engagement types spanning the most common problem shapes we solve.
Salesforce Agentforce deployment for a services firm
Inbound case volume outpaced support capacity. Tier-1 issues consumed 60% of support time. One agent handles case triage. A second pre-qualifies inbound leads before AE assignment. Deployed sequentially, one use case at a time.
Inbound voice agent for a multi-location healthcare practice
Multi-location dental group losing 30–40% of inbound calls to a busy front desk. The agent handles new patient intake, rescheduling, and after-hours coverage, escalating to a human when needed. Transcripts route to the PMS automatically.
Pipeline automation and attribution for a SaaS company
Marketing generating leads with no visibility into conversion. Sales and marketing disagreed on lead quality. Built the scoring model, lifecycle stage machine, SLA-based handoff workflows, and attribution dashboard that made the pipeline number trustworthy.
Ongoing agency partner, automation engineering retainer
Agency winning automation scopes but lacking technical delivery. On retainer, we scope with their salespeople, build under their brand, and hand off documentation formatted for their clients. No offshore chain, no handoff surprises.
Background
The enterprise experience behind this practice.
Ten years of deploying systems that had to survive regulated production environments. The patterns built there are what makes the difference between a working system and a demo.
Salesforce Architecture and nCino Implementation
Led Salesforce architecture, system integration, and multi-environment governance across US commercial and consumer banking divisions. Operated inside change advisory board processes, enforced data governance standards, and delivered production changes against compliance requirements affecting hundreds of thousands of accounts.
Property and Casualty Insurance Enterprise IT
Designed and maintained administration workflows and claims automation in a regulated P&C insurance environment. Delivered regulatory-driven change management and established documentation standards built for auditors, not just the next engineer.
Healthcare Trust Commercial Real Estate
Designed and operated the onboarding pipeline for a national healthcare real estate portfolio spanning medical building acquisitions. Built HIPAA-aligned data flows, trust document automation, and multi-entity onboarding systems at the intersection of legal, compliance, and engineering.
Enterprise Operations and Automation
Delivered automation and systems work supporting large-scale live event operations. Built high-volume data flows and cross-system integrations supporting the operational cadence of an enterprise running thousands of simultaneous events across North America.
AI Automation Practice Founded 2025
Applied a decade of enterprise engineering discipline to AI workflow automation for SMB and mid-market companies. Fixed scope engagements, senior architect delivery, and documentation standards inherited directly from regulated-industry deployments across banking, insurance, healthcare, and entertainment.
What we have automated
Systems automated across industries.
Across banking, insurance, healthcare, entertainment, and B2B SaaS. These are the categories of systems we have automated in production.
See if your problem fits this practice.
Thirty minutes on a discovery call. We map your situation to a service, or tell you it does not fit and point you toward something that does.