01/ 05
AI should execute, not just answer.
The future of AI is not just better responses. It is reliable action inside the workflows where business happens.
Our story
We're building the control plane for the human + AI workforce.
AI-Harness helps companies move from AI experiments to accountable execution, with agents, workflows, guardrails, and audit trails built for real business operations.
Governance wrap
GuardrailsApprovalsAudit trails
Human team
Operators, reviewers, leaders
AH
AI-Harness
Control plane
AI agents
Scoped, accountable, observable
Business systems
CRM, ERP, ITSM, data, comms
Every action is scoped, reviewable, and logged, end to end.
The old way is broken
AI adoption is stuck between demos and deployment.
Most companies can generate impressive AI outputs. Far fewer can safely delegate real work to AI. Chatbots are helpful, but they do not solve the harder problem: coordinating work across people, systems, approvals, and business rules.
Without governance, AI creates risk. Without workflow integration, it creates more tabs. Without accountability, it cannot be trusted with important operations.
AI is trapped in chat
Useful answers do not automatically become completed work.
Automation lacks judgment
Traditional workflows are rigid, brittle, and hard to adapt.
Enterprises need control
Leaders need visibility, permissions, auditability, and human oversight before AI can scale.
What we believe
The next era of AI belongs to teams that can control it.
02/ 05
Control is what makes scale possible.
Companies cannot deploy AI agents broadly without permissions, policies, logs, approvals, and clear boundaries.
03/ 05
Humans stay in command.
AI agents should extend human teams, not replace accountability, judgment, or leadership.
04/ 05
Trust is a product feature.
Every important AI action should be scoped, observable, reviewable, and reversible.
05/ 05
Growth should not require proportional headcount.
AI should help teams expand capacity without adding complexity, chaos, or unmanaged risk.
Our mission
To make AI agents safe, useful, and accountable inside real business operations.
AI-Harness exists to help organizations move beyond experimentation and into execution. We are building the infrastructure that lets teams delegate work to AI agents while maintaining the governance, oversight, and reliability that businesses require.
01
Reliable execution
Agents designed for repeatable business workflows.
02
Human oversight
Approvals and controls built into the way work gets done.
03
Operational trust
Audit trails and governance from day one.
What we build
A platform for deploying and governing AI agents at work.
AI-Harness gives teams the tools to launch AI agents, connect them to workflows, and supervise their actions across business operations.
Featured
Agent templates
Deploy AI teammates for repeatable, high-value work across functions such as operations, sales, marketing, service, and internal processes.
OperationsSalesMarketingServiceInternal
Workflow orchestration
Coordinate AI agents with human approvals, business rules, handoffs, and the systems your team already uses.
Guardrails and permissions
Define what agents can access, what they can do, and when a human needs to step in.
Audit trails
Track agent activity, decisions, outputs, and approvals so teams can review, improve, and govern AI work.
Enterprise readiness
Built for teams that need reliability, visibility, and control before they scale automation.
Built for high-leverage teams
For organizations where speed matters, but uncontrolled automation is not an option.
Operations teams
Automate recurring workflows while keeping approvals and accountability in place.
Revenue teams
Scale research, outreach, follow-ups, CRM updates, and customer-facing workflows.
Service teams
Handle requests faster while preserving quality, escalation paths, and visibility.
Leadership teams
Gain confidence that AI is being used consistently, safely, and in line with business priorities.
Why now
AI is moving from assistance to execution. The operating model has to change with it.
The first wave of AI helped people write, summarize, search, and brainstorm. The next wave will help teams complete work.
That shift requires a new layer between AI models and business operations, a layer for workflows, governance, permissions, oversight, and continuous improvement.
That is the layer AI-Harness is building.
Wave 1 · Then
AI assistance
- Write
- Summarize
- Search
- Brainstorm
Wave 2 · Now
AI execution
- Workflows
- Governance
- Permissions
- Oversight
- Continuous improvement
How we build
Principles that guide our platform.
The operating rules behind every agent, workflow, and control we ship.
Accountability by design
AI work should always have clear ownership, logs, and review paths.
Governance without friction
Controls should make adoption safer without slowing teams down unnecessarily.
Human-in-the-loop where it matters
Not every task needs approval, but every high-impact decision needs the right level of oversight.
Useful before flashy
The best AI systems do not just impress in demos. They save time, reduce bottlenecks, and complete real work.
Composable by default
Teams should be able to adapt agents, workflows, and policies as their business changes.
The team behind it
The people building AI-Harness have shipped this kind of system before.
Across enterprise platforms, AI infrastructure, security programs, and operational delivery, the team has run the work this category demands, with governance, audit trails, and human oversight baked in from day one.
Platform engineering
Operators who have run distributed platforms, workflow engines, and integration layers at enterprise scale.
AI & infrastructure
Practitioners building model orchestration, agent runtimes, and the reliability work behind production AI.
Security & governance
Engineers and program leaders who have designed enterprise controls, audit trails, and access policies.
Operations & delivery
Operators with first-hand experience scaling AI inside large organizations under real business constraints.
Careers
Help build the layer between AI models and real business operations.
We are hiring across engineering, product, design, security, and go-to-market. Remote-friendly across the US, EU, and UK. The work is concrete: AI agents, workflows, approvals, audit trails, and the controls teams need to scale AI safely.
Remote-first
Transparent comp
Shared equity
Health & wellness
Home office setup
Learning & conference budget
Ready to turn AI into accountable execution?
Build, deploy, and govern AI agents your team can actually trust.