Sessions
Every agent task is a durable conversation. Open it, chat, see the plan, watch run events, inspect files, approve risky actions, request changes, continue the thread over time.
PRESHos
Where AI work actually gets done.
PRESHos is the operating layer for human and agent work in one observable system. Agent tasks become durable sessions. Plans, runs, files, approvals, and outcomes live where the team can see them.
AGENT OPS
A real agent runtime, with the platform under it.
Codex-grade runtime in isolated sandboxes. Shell, file access, repo changes, browser verification, event streaming, multi-turn collaboration. PRESHos provides the control plane around it.
Environments. Model selection. Knowledge stores. Scoped secrets. Project context. Tool grants. Approvals. Audit logs. Notifications. Artifact storage. The runtime does the work; the operating layer makes it governable.
- Isolated long-running workspaces with shell + file access
- Browser verification and screenshot evidence
- Event streaming with run logs and traces
- Approval routing structural to the runtime
- RUNTIME
- Codex
- ISOLATION
- Vercel Sandbox
- AUDIT
- Every action
BUILDING BLOCKS
Four pieces. One operating system.
Each piece is a primitive. Together they turn pilots into governed production.
Environments
PRESHos repo coding. Client onboarding research. Content QA. Campaign assets. Different work, different scoped tool grants, different knowledge stores.
Plugins
Project task readers, submission handlers, knowledge-store search, CRM actions, proofing tools, email drafting, image generation, artifact publishing, approval routing, QA checks, deployment checks.
Approvals
Human-in-the-loop where it matters. Risky actions route to the right reviewer with full context. Audit logs travel with the work. Governance is structural in the platform.
MSP COMMAND CENTER
An MSP and solution provider command center.
For IT solution providers and MSPs, PRESHos becomes an operations command center for client delivery. Each client or project has an Agent Environment with its own documentation, SOPs, credentials, tools, network policies, and approval rules.
Agents triage tickets, generate remediation plans, audit M365 or Google Workspace settings, draft client-facing updates, prepare onboarding tasks, validate backups, compare configs against standards, create implementation PRs for infrastructure-as-code, run sandboxed scripts safely before human approval.
- Per-client environments with scoped credentials
- M365 and Google Workspace audit agents
- Backup validation and configuration drift detection
- Sandboxed remediation scripts with approval gates
LIFECYCLE
Delegate to deliver, every step inspectable.
Every agent task moves through these phases. The team sees every one. Every decision has a trace, every output an evaluation.
01
DELEGATE
User assigns task with context.
- Project task or standalone
- Scoped tools and data
02
PLAN
Agent proposes the work.
- Steps and tool calls
- Approval boundaries
03
RUN
Agent executes in sandbox.
- Live event stream
- File and run history
04
REVIEW
User inspects evidence.
- Diffs, files, artifacts
- Run logs and traces
05
APPROVE
Human signs off on changes.
- Routing rules apply
- Audit log captured
06
DELIVER
Outcome ships to system of record.
- PR, ticket, asset, report
- Notification routed
IN PRACTICE
What this looks like in your business.
MSP SERVICE DESK
Tier-1 ticket triage with technician hand-off.
- Before
- Tier-1 ticket volume keeps technicians on commodity work and slows down the cases that need expertise. Client communication varies by who picks up the ticket.
- With PRESHai
- Agents triage tickets in PSA, draft client responses, escalate with full context. Technicians focus on problems that need expertise.
- Governance
- Approval routing on customer-facing communications. Run history auditable per ticket. Human review on actions outside policy.
DISTRIBUTOR CO-OP
Faster claim review with vendor-rule enforcement.
- Before
- Claim review is opaque and approvals can take weeks. Reporting is fragmented across spreadsheets, partner portals, and email threads, so program ROI is hard to demonstrate.
- With PRESHai
- Agents review claims against vendor rules, route approvals, surface anomalies, tie reimbursements to measurable partner activity.
- Governance
- Vendor-rule policies enforced before approval. Audit trail per claim. Human approval on edge cases.
VENDOR CHANNEL PROGRAM
Partner-tier-aware activation at scale.
- Before
- Program assets ship as generic content because partner segmentation is manual. Reporting tracks campaign activity but does not tie back to per-partner outcomes.
- With PRESHai
- Agents generate tier-aware co-brandable assets, deliver to partner portals, track partner-side adoption signals, report partner-segmented outcomes.
- Governance
- Brand and legal review on generated assets. Channel-conflict rules enforced. Audit log per partner program.
PROOF BY OPERATION
Built on what we run.
PRESHos is the delivery layer we use ourselves. Every PRESHai engagement runs through it. That is what we mean by Proof By Operation: clients see the same operating layer we run our business on.
Pilots become production. Production becomes a capability your team can extend. The patterns transfer: from PRESHai to your operations, from your operations to your partner ecosystem.
See PRESHos in operation.
A real demo against a real workflow. Tell us where AI ambition is stalling and we will show you what the operating layer changes.