PRIME
Define the objective, context, constraints, tools, policies, participants, and success criteria before agents act.
Govern AI AgentsLike Team Members,Not Tools
SICKR.ai helps enterprises manage work across humans, AI agents, and systems through governed workflows, approvals, policies, audit trails, cost visibility, and operational control.
Prime the work. Review the plan. Approve the action. Audit the outcome.
Governed workflowhuman + agent + system
Human
sets objective, constraints, and approval policy
AI Agent
plans, analyzes, recommends, and executes assigned steps
System
runs checks, stores evidence, and advances governed state
SICKR governs the workflow around them
AI agents can act. SICKR makes that action accountable.
Humans
AI Agents
Systems
One Governed Workflow
OwnershipApprovalsPoliciesAuditabilityCost VisibilityOperational Control
AI agents are moving from chat to action. Enterprise governance has not caught up.
AI agents can now plan, analyze, write, code, summarize, investigate, and act across tools. But once agents participate in real business workflows, enterprises need answers that most agent stacks do not provide.
Who owns the task?
Who approved the plan?
Which policy applied?
What tools and data were used?
Where did human judgment enter?
What did the workflow cost?
What happens when an agent fails?
Can the full execution path be audited?
SICKR turns AI-driven work into governed workflow.
SICKR makes the plan, review, approval, and audit path first-class, not hidden inside a black-box agent run.
PLAN
Let an AI agent generate a proposed execution plan with assumptions, steps, required tools, and expected outcomes.
REVIEW
Route the plan to another agent, another model provider, or a human reviewer based on team policy and risk.
EXECUTE
Allow agents, humans, or systems to perform assigned steps inside a controlled workflow.
APPROVE
Require human-in-the-loop approval when work reaches sensitive, high-risk, costly, or business-critical stages.
AUDIT
Capture every state transition, actor, decision, cost, approval, and outcome in an audit-ready history.
Every AI-driven task has a state, owner, policy, and history.
SICKR tracks how work moves from intent to outcome across humans, AI agents, and systems.
Workflow canvas
“Bug Fix” workflowsystemagentfocused— failure— error
Policy gate
focusedImplementation
agentrole · sickr_implementation · node “Re-Impl”
- Allowed tools
repo.read_filerepo.write_filesearch.rgcommand.rungit.diff- Preflight gate
Verify workspace readiness; gather ticket, dependency & source context.
- Postflight gate
Validate changed files, git diff & test evidence before reporting complete.
- Evidence required
- Ready PR (non-draft)≥ 1 commit
- Separation of duties
Review must run as a different agent (no self-approval).
- Outcome routing
- success → Review_2failure → Escalationerror → Error hold
Governed state transitions
Human approvals
Agent participation
Workflow ownership
Cost visibility
Execution history
Audit-ready records
State transitions6 states
- ✓Startsuccess
- ✓Planningclaude-001success$0.31 96k·12m5d ago
- ✓Review Plancodex-001success5d ago
- ✓Ticket Creationclaude-001success$0.08 21k·3m5d ago
- ✓Human Reviewoperator:humansuccess5d ago
- ●Doneoperator:humancurrent5d ago
successfailureerrorcurrentpendingretry
Governed AI-human workflow execution, not ticketing alone.
Each state can define who acts, who reviews, what policy applies, what evidence is required, and whether human approval is needed before the workflow continues.
SICKR is not another agent builder. It is the governance layer for the work agents perform.
Most agent platforms focus on building, deploying, or monitoring agents. SICKR does not build the agents. SICKR focuses on governing the work those agents perform alongside humans and existing systems.
Agent Platforms
- Build agents
- Connect tools
- Run tasks
- Manage prompts
- Track model behavior
- Monitor technical execution
SICKR.ai
- Govern work
- Define workflow states
- Assign ownership
- Route approvals
- Enforce policies
- Track cost per outcome
- Create audit-ready history
- Coordinate humans, agents, and systems
Bring your own agents. SICKR governs the workflow around them.
Whether your agents run on OpenAI, Claude, AWS Bedrock, Azure AI Foundry, LangChain, CrewAI, internal scripts, or vendor platforms, SICKR provides the workflow control plane around ownership, approval, policy, visibility, and auditability.
Start with one workflow. Govern it end to end.
Engineering is the first use case. The governance pattern applies wherever AI agents participate in real work.
AI Engineering Workflow
Prime requirements, generate an implementation plan, review it with another agent or human, create tickets, approve execution, and retain full audit history.
Business Operations Workflow
Route AI-assisted operational work through defined handoffs, approvals, escalation paths, ownership rules, and outcome review.
Compliance and Review Workflow
Use AI to assist analysis while preserving human judgment, policy checks, approval gates, and audit-ready evidence.
Customer or Internal Support Workflow
Let agents summarize, recommend, and act while humans retain control over sensitive decisions, exceptions, and escalations.
Looking for early design partners
We are working with a small number of teams deploying or evaluating AI agents in real workflows. The first step is simple.
No large implementation or commercial commitment required upfront.
1
Pick one workflow
2
Map the humans, AI agents, systems, approvals, and policies involved
3
Configure a working SICKR model around that workflow
4
Review the result together and decide whether a pilot makes sense
Built by an enterprise systems operator
SICKR.ai is founded by Arif Manasiya, who spent 20+ years building enterprise technology platforms across Bloomberg and Amazon.
His experience spans capital markets systems, trading workflows, execution platforms, analytics engines, cloud-scale data systems, and mission-critical production infrastructure.
SICKR is built from a simple belief: when software participates in high-stakes business workflows, intelligence alone is not enough.
Enterprises need ownership, governance, visibility, auditability, and accountability built into how work gets done.
Connect with ArifReady to govern your first AI-human workflow?
Start with one real workflow. We will help map how humans, AI agents, and systems participate, then show how SICKR can make the process governable, visible, and auditable.