Secure deployment
We handle the managed environment, production setup, and approved access boundaries.
2026
Managed AI operations.
→Managed AI operations
for real business workflows.
Big Robot helps teams put AI to work inside the systems, data, and approval paths they already use.
CONNECTS YOUR SYSTEMS →
Sage IntacctProcoreMicrosoft 365SharePointMiterQuickBooksSage 300TimberScan TitaniumANY AI WORKSPACE →
Claude CoworkOpenAI CodexMicrosoft CopilotCursorSlackMicrosoft TeamsPrivate skillsPrivate modelsHow managed AI operations works
Start with the workflow. Build the control layer.
We start with the work as it happens today, then find where AI can help and where people need control.
01.
Pick the workflow
Start where repeated data entry, exception chasing, or source-of-truth conflicts already slow the team down.
02.
Map source authority
Sort out which system to trust, where records disagree, and what evidence needs to stay attached.
03.
Build the operating layer
Create the records, review screens, and exception paths people need before AI starts helping.
04.
Operate managed agents
When the workflow can run through approved access, agents handle the repeatable work with monitoring, updates, and support.
05.
Measure the result
Track cycle time, errors, readiness, and exception visibility instead of counting AI usage.
Workflow first · Human approval · Measured outcomes
Enterprise AI
Enterprise AI starts
with an operating layer.
When systems disagree, AI needs more than another connector. Big Robot builds the trusted layer first: normalized records, source rules, approval paths, and controlled access.
01 · Disconnected systems
Find the real answer.
The same invoice, payment, project, customer, or vendor can appear in several tools. The first job is knowing which fact to trust.
02 · Operating layer
Make the workflow explicit.
Records, rules, approval points, evidence, and exception states become visible enough for people and AI tools to use safely.
03 · Approved AI access
Let AI work from the trusted layer.
Approved agents and AI work surfaces can answer, draft, route, or act only inside the data and permission boundaries you define.
Managed Agents
Turnkey AI agents, operated by Big Robot.
We deploy the agents on secure infrastructure, build the workflow, keep it patched, watch how it performs, and improve it as your team uses it.
Automatic updates
Security patches and product improvements ship without making your team run agent ops.
Performance tuning
We watch the output, catch edge cases, and tune the agent as the workflow changes.
Good fit
01
Bid intake and first-pass assessment
02
Document review, summarization, and routing
03
Operational reporting and exception review
Benefits
01
Reliable AI capacity without owning the stack
02
Custom skills built around your sources and rules
03
Human approval stays in front of sensitive actions
Trust and security
Keep people
in control.
Private business data changes the security problem. Big Robot defines access, approval, and audit rules before agents touch the workflow.
01.
Least-privilege access
People and agents get scoped access to approved systems and APIs, not raw credentials or broad private data dumps.
02.
Human approval gates
Money movement, compliance, customer impact, and system changes need review before an agent can act.
03.
Audit-ready workflow state
Important answers and actions trace back to records, source evidence, user intent, and approval history.
04.
No silent autonomy
Agents can help prepare the work. People still approve the actions that affect customers, money, or systems.
Contact
Bring one workflow
worth fixing.
Bring one workflow your team wants to make easier. We will talk through the systems, approval points, and what a useful first version could do.