Pain
Agent sprawl
Teams deploy faster than IT can track.
IBM: 70% report business teams moving faster than IT visibility.
Zahara control
Fleet gives every agent an owner, status, route, cost posture, and lifecycle state.
Enterprise-grade agent control for every team
The AI agent future needs a control plane.
Agents are moving from demos into real workflows. That is the opportunity. Zahara is the operating layer that lets teams build, connect, govern, track, evaluate, and prove those agents before autonomy turns into sprawl.
Agent GPS
support-triage / live run
01
Goal accepted
12 ms
Healthy
02
Model route: default
$0.003
OpenAI
03
Tool request: Zendesk
paused
Approval
04
Reviewer decision
Thomas
Approved
05
Customer update drafted
audit linked
Passed
40%
of enterprise apps are projected to include task-specific AI agents by 2026.
Source: Gartner
23%
of surveyed organizations are already scaling an agentic AI system somewhere in the enterprise.
Source: McKinsey
77%
of surveyed tech leaders say AI adoption is outpacing current governance capabilities.
Source: IBM IBV
54
AI agent incidents hit the average surveyed organization last year, according to IBM.
Source: IBM IBV
The market pain
The problem is not that agents are weak. It is that they are strong.
Gartner projects agents will become embedded across enterprise software, McKinsey says organizations are already experimenting and scaling them, and IBM reports that governance and visibility are already falling behind. Zahara exists for the moment after the demo, when agents need permissions, budgets, reviewers, evals, traces, and proof.
Pain
Uncontrolled autonomy
Agents can act across tools, credentials, and workflows.
OWASP ties excessive agency to excessive functionality, permissions, autonomy, and prompt injection.
Zahara control
Approvals, scoped credentials, Gateway routes, and emergency stops put human judgment before risky action.
Pain
No proof after the run
Trust requires accountability, transparency, validity, reliability, and oversight.
NIST AI RMF defines trustworthy AI across those dimensions.
Zahara control
Inspect, Trace, Audit, and evidence exports keep a signed, timestamped record of what happened.
Pain
Quality drift
Production agents need feedback loops, evals, and release gates before work scales.
McKinsey calls disciplined governance and feedback loops central to agentic scale.
Zahara control
Evals track scorecards, regressions, review queues, and release gates before agents reach production.
One operating loop
Not another agent builder. The source of truth around every agent.
You can start with Vibe, Flow, Pro, Import, or an already-running agent. Once it enters Zahara, the same control loop governs what it can do, what it costs, when humans approve, what quality gates it must pass, and what evidence exists after the work.
01
Build
02
Connect
03
Govern
04
Run
05
Track
06
Evaluate
07
Audit
08
Improve
Zahara platform
The powers users get.
Zahara is built for AgentOps teams, operators, agencies, consultants, and enterprises that need agent leverage without a pile of stitched-together tools.
Build every way
- Vibe interviews a non-technical operator and drafts a governed agent spec.
- Flow turns process steps into a visual graph.
- Pro exposes the full YAML for technical teams.
- Import and Trace Connect bring existing agents under control without a rewrite.
Govern before action
- Approval gates pause sensitive work for named reviewers.
- Gateway controls provider keys, model routes, budgets, and fallback chains.
- Credentials stay workspace-scoped instead of being copied into agent prompts.
- Team roles support operators, admins, viewers, and client workspaces.
Observe live
- Command Center shows what needs attention and what is safe to leave alone.
- Agent GPS follows the live run path as agents move through tools, approvals, errors, and proof.
- Fleet keeps health, spend, recent runs, and attention reasons in one roster.
- Observe, Signals, Health, and Outcomes surface runtime pressure before it becomes damage.
Prove and improve
- Inspect explains latency, cost, tokens, events, outputs, and failures.
- Audit records tamper-evident evidence with actor, timestamp, and entity links.
- Evals catch regressions, stale scorecards, and quality gaps.
- Governance exports turn runs, evals, and audit links into review-ready evidence packs.
Human control, machine speed
Let agents move fast. Keep humans in command.
Zahara is pro-agent. The point is not to slow teams down. The point is to give every agent a governed path to production: visible, bounded, evaluated, reviewed, and provable.
Vibe Intake
A guided interview that turns plain-language needs into an agent spec.
Agent GPS
A live tracker for where an agent is in its run and what happened next.
Approval gates
Named reviewers decide before sensitive work continues.
Evidence packs
Audit, eval, and run proof export cleanly for review.
Why now
The outside market is already saying the quiet part out loud.
Agents are becoming useful enough to matter, and autonomous enough to require a real operating layer. Zahara gives teams that layer.
Start with control
Bring one agent under Zahara. Prove the loop. Then scale.
Build one with Vibe, import one you already have, or connect a running agent through the agent door. Zahara turns it into an accountable operational asset.