Automate the workflows that are too complex for simple triggers.
Multi-step agents that research, decide, and act across your tools, scoped to a defined task, logged at every step, and kill-switchable at any moment.
Six properties every agent ships with.
Multi-step execution
Chains of actions across tools, APIs, and databases, executed in sequence, with branching logic, without a human in the loop.
Decision logging
Every decision the agent makes is stored with its reasoning. Auditable, explainable, and reversible.
Tool use
Web search, database queries, document generation, API calls, the agent uses the tools it needs to complete the task.
Scope limits
The agent operates only within the permissions you define. It cannot take actions outside its explicit boundary.
Kill switch
Pause or halt all agent execution at any time, instantly, without data loss. Always on, always accessible.
Human checkpoints
Insert approval gates at any step in the flow. The agent waits for a human before proceeding when the stakes require it.
Scoped, built, and deployed in 14 days.
Scope definition
We define the agent's task, tools, and permission boundary in the SOW. Nothing outside this boundary is accessible.
Build
Agent built on LangChain or CrewAI, tested in an isolated sandbox against your real data and tools.
Observability
Every run logged with full trace: inputs received, tools called, decisions made, and outputs produced.
Deploy & monitor
Live on your infrastructure with monitoring, alerting, and a kill switch. Runbook in your repo.
Three agents. Running every day without anyone watching.
Every system below replaced a daily manual process. Now it runs on its own.
NORTHBOUND LOGISTICS
Agent reconciles bank statements against 40k+ ledger entries every morning. Exceptions flagged. Report delivered. Finance team reviews in minutes, not hours.
FENIX STAFFING
Autonomous agent screens incoming CVs, scores against role criteria, ranks the full applicant pool, and books interviews with top candidates, before a recruiter opens their inbox.
VOLTA ENERGY
Autonomous agent monitors 1,200+ smart meters daily, flags consumption anomalies, runs the monthly billing cycle, and triggers invoicing, zero manual steps.
Questions we get on every call.
Can the agent do anything harmful if it goes wrong?
No. Every agent operates within an explicit permission boundary, specific tools, specific data, specific actions. It cannot exceed what we scoped in the SOW. The kill switch halts everything instantly.
How do I know what the agent is doing?
Every run produces a full trace: the inputs it received, the tools it called, the decisions it made, and the outputs it produced. Stored, searchable, and reviewed in the weekly report.
What if I need to pause it?
Every deployment includes a kill switch, a single toggle that halts all agent execution immediately. No waiting, no data loss.
What tasks are good candidates?
Competitive research, proposal drafting from CRM data, multi-system data reconciliation, lead enrichment, and any workflow that takes a human 30+ minutes and follows a repeatable pattern.
Automate what your
team dreads most.
30-minute call. We'll map your most complex repeated workflow and scope whether an agent is the right fit, free, no deck.
Coming soon.
Our Back-Office AI systems are in final testing. Explore our Customer-Facing AI, in production now and deploying in 14 days.