New client onboarding
Turn signed scope, access, owners, and first-value work into a visible operating path.
Valdris Deploy
AI deployment into real company operations.
Valdris Deploy installs the operating layer around live workflows: owners, routes, handoffs, AI assists, QA gates, and founder visibility.
Best fit
Deploy starts where AI experiments hit workflow reality.
The engagement is intentionally operational: it turns live delivery work into routes, owners, gates, and a cadence before software scope expands.
Founder-led AI, automation, or AI-enabled teams with active client delivery.
Work is spread across calls, chat, docs, task boards, PM tools, and memory.
The founder or senior operator is still the hidden router for delivery decisions.
The team wants AI leverage but needs workflow structure and human review gates first.
Three P1 workflows
The first install goes deep before it goes wide.
New build / automation
Route requests through specs, build ownership, QA review, client updates, and release checks.
Change request / incident
Separate intake, triage, severity, owner assignment, communication, closure, and learning loops.
Install motion
Diagnose, design, implement, harden.
The operating system is installed against live work, with human accountability kept visible at every handoff.
01
Weeks 1-2
Diagnose and Map
Map live delivery flows, founder routing, source-of-truth gaps, and the baseline operating state.
Output: Current-state map, source-of-truth map, founder bottleneck map, and baseline snapshot.
02
Weeks 3-4
Design the Delivery OS
Define the target routes, states, owners, handoffs, SOPs, AI assists, and review gates.
Output: Workflow schema, ownership rules, RACI, SOP drafts, and founder pulse design.
03
Weeks 5-8
Implement on Live Work
Move real P1 work through the new operating spine inside the client's current work system.
Output: Live workflow use, AI-assisted specs and updates, triage rhythm, training, and board adoption.
04
Weeks 9-12
Harden and Handoff
Stabilize QA gates, escalation rules, OS Owner handoff, founder pulse, scorecard, and next backlog.
Output: QA gate, incident path, OS Owner blueprint, updated SOPs, Day 90 scorecard, and next-90 backlog.
Operating artifacts
What the deployment produces.
Current-state and target-state workflow maps
Source-of-truth map
Delivery board or workflow schema
Owner map and lightweight RACI
SOP kit for active delivery motions
AI assist map with human review gates
QA gate map
Baseline snapshot, weekly delivery snapshots, and Day 90 scorecard
Founder pulse
Client-side OS Owner handoff path
Existing tools first
The install starts inside the client's current work system unless tool failure is the blocker and a separate scope is approved.
Three P1 workflows
The install goes deep on onboarding, build / automation, and change / incident work before expanding the operating system.
Build is separate
Software, agents, dashboards, integrations, and automations move through Valdris Build when the operating requirement is concrete.
Public proof remains gated
Public outcome language only ships after each claim, source, and surface clears the approval path.
Deployment review
The first review checks whether there is enough operating structure to deploy AI safely.
Public outcome proof only ships after written claim approval. The review is about workflow reality, owner clarity, access, and where AI can assist with human accountability intact.
Signed scope or explicit commercial gate status
Executive sponsor
Internal OS Owner
Valdris delivery owner
Three P1 workflows
Out-of-scope list
Access list
Data and privacy boundary
Client execution shell
Kickoff readiness decision
Deployment surface
Public copy only. Private proof and operating records stay inside the operator app.