Named client
Sheep Dog Tax Resolution
Tax-resolution case workflows transformed with governed agentic support.
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CYBORGENESIS
Case studies and testimonials
These examples focus on workflow design, operating controls, and the conditions required to introduce agentic AI responsibly. Confidential details and unverified performance metrics are not published.
Named client
Tax-resolution case workflows transformed with governed agentic support.
Jump to case →Named client
Portfolio-level operating coordination across entities and planning lanes.
Jump to case →Anonymous client
A confidential case-driven practice rebuilt around reviewable work product.
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“The useful shift was not a chatbot. It was a clearer case path, a prepared review package, and fewer things falling between handoffs.”Practice leadership · tax resolution environment
“We needed multi-entity work to stay visible and governed. The system only mattered once evidence, ownership, and escalation rules were explicit.”Portfolio operations · holding-company environment
“Side-by-side testing is what made the change credible. We did not ask people to trust automation before the work product held up.”Operations lead · anonymous professional-services client
Cyborgenesis partnered with Sheep Dog Tax Resolution to examine the sequence of work that moves a tax-resolution case from intake to a prepared, reviewable resolution path.
Tax-resolution work depends on complete intake, organized evidence, timely follow-up, accurate status awareness, and experienced human judgment. Fragmented tools and manual handoffs can make the work harder to see, review, and scale.
We applied agentic AI to bounded workflow steps: organizing intake signals, preparing structured case materials, tracking next actions, and surfacing exceptions for human review. Resolution decisions and client-facing accountability stayed with the team.
The target is not a generic conversation. It is a clearer case record, a prepared review package, an explicit queue of next actions, and an auditable handoff to the professional responsible for the outcome.
By making recurring coordination work more structured and reviewable, the team can direct more attention toward client strategy, complex exceptions, and the professional judgment that creates the most value.
Cyborgenesis supports Infinity Gauntlet Holdings LLC in making multi-entity work legible: planning lanes, evidence routing, status reporting, and agent-assisted coordination without collapsing ownership boundaries.
A holding-company environment runs many concurrent workstreams across entities. Without shared operating discipline, priorities blur, evidence scatters, and agent assistance can create uncontrolled handoffs instead of clearer execution.
We designed governed workflow patterns around lane ownership, inbox/outbox evidence, story-backed backlog discipline, and controlled agent participation. The system is built to preserve entity boundaries while improving coordination speed.
Operators get explicit work ownership, reviewable status artifacts, cleaner dependency signaling, and agent support that is constrained by protocol rather than left as free-form automation.
Leadership can move attention from chasing status to deciding priorities. Agents accelerate preparation and synthesis; people retain control of approvals, risk acceptance, and cross-entity tradeoffs.
For a professional-services client that cannot be named publicly, Cyborgenesis rebuilt the path from intake to deliverable around observable work product, review gates, and side-by-side validation.
Case work depended on tribal knowledge, scattered tools, and inconsistent status. Experienced staff spent too much capacity on coordination instead of judgment, client communication, and quality control.
We mapped the real workflow, defined what an agent could prepare safely, installed reviewable intermediate outputs, and established escalation rules for exceptions that required professional authority.
The practice gained a standard case package, clearer next-action queues, and an operating model where automation is judged by whether the deliverable is easier to review and trust.
Capacity moved toward higher-value professional work only after the automated path held up in side-by-side comparison. The client retained confidentiality; the method is transferable.
Transferable pattern
Capture inputs, decisions, systems, exceptions, and final output before automating.
Define what an agent can do, what it must escalate, and what evidence a reviewer needs.
Run automated and existing paths side by side until the workflow earns operational trust.
Move human capacity toward higher-value work only after the work product holds.
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