Scope first
Define users, data, risk, systems, success criteria, and what should stay manual.
Agent Systems
Design agents that do bounded work with human control.
We build agents for research, document workflows, operations, support, scheduling, reporting, data entry, and internal knowledge work.
What this means
Consulting and implementation stay connected.
Agents are useful when their job is bounded. We design tool access, prompts, retrieval, escalation, review screens, evaluation tests, and rollback paths before expanding scope.
Build second
Prototype the smallest useful tool, integration, or agent and test it with real workflow inputs.
Operate third
Deploy with permissions, review, logs, training, maintenance, and a path to improve.
Deliverables
What CypherPower can actually deliver.
Architecture and plan
Use case selection, risk boundary, data map, deployment options, timeline, and implementation sequence.
Prototype and build
Custom AI workflow, agent, integration, internal tool, SaaS MVP, or private AI workspace.
Deployment and support
Training, documentation, monitoring, evaluations, updates, rollback planning, and ongoing improvements.
Workflow
Agents need jobs, tools, and limits.
Job
Define one repeatable task with inputs, outputs, escalation rules, and a clear owner.
Tools
Give the agent only the data, APIs, documents, and actions required for that task.
Guardrails
Build checks, review queues, prompt tests, logs, and rollback paths before expansion.
Operate
Train users to supervise the agent and improve the workflow from real examples.
Next step
Start with one specific workflow.
AI works best when the first project is concrete, reviewable, and tied to a real operational pain.
Start project intake