Production Agent Networks
Replace manual business processes with coordinated networks of specialized AI agents that plan, retrieve, execute, verify, and escalate through production controls.
Single prompt wrappers break the moment business logic gets conditional, stateful, or high-stakes. Production agents need orchestration, tool contracts, memory boundaries, approval gates, and telemetry.
ViaCatalyst builds agentic workflow engineering systems for finance, SaaS operations, data operations, customer workflows, and internal productivity platforms.
Outcomes
Core capabilities
We model workflows as explicit graphs with nodes, state transitions, failure paths, and verification checkpoints.
Agents become useful when they can act safely inside the systems your teams already run.
We expose how agents decide, what they touched, and why an action was accepted or blocked.
Process
Technology
Operational impact
Mapped a finance planning workflow where analysts manually moved balance sheet assumptions across documents, approvals, and projections.
Defined an agent network that separates ingestion, projection, variance analysis, and human approval into auditable stages.Related case patterns
Automating projection workflows across ledgers, historical quarter data, assumptions, validation checks, and review queues.
Adding an AI capability layer to a live B2B SaaS product without creating a brittle prompt wrapper or exposing tenant data.
Assessing whether a manual internal workflow is ready for autonomous agents, deterministic gates, and production observability.
Yes. We design around your current identity, network, data, CI/CD, and approval boundaries, then recommend only the changes needed to make the AI system production-ready.
We can use commercial LLM APIs, private endpoints, or self-hosted models depending on risk profile. Proprietary data is isolated from public training paths and access is designed around least privilege.
Yes. Most engagements begin with a paid architecture audit or two-week discovery sprint that produces a capability map, risk register, and implementation roadmap.
Architecture inquiry
Tell us which process is slow, repetitive, or error-prone and we will identify where autonomous execution is useful and where deterministic gates are required.
Next step
Book a focused architecture audit and we will map the data, agent, evaluation, and security work required for a reliable first release.
