Digital companies
Keep delivery and operations in the same conversation.
For software teams and digital businesses whose products move faster than their handovers, documentation and operating routines.
Where the work gets stuck
What changes with Alodai
Choose a delivery workflow that connects the brief, the work and the review. Evaluate Alodai alongside the stack you already run, with explicit ownership and approval boundaries.
Where the work gets stuck
A release can span product decisions, customer work and operational checks. Status sits in separate tools, and the next owner has to reconstruct the context.
The first pilot
A technical diagnosis should establish the integration boundary first. A connection in the product is not evidence that your entire toolchain is integrated.
Digital companies
A first workflow to explore
Illustrative use cases to scope together, not ready-made integrations or proven customer outcomes.
Delivery coordination
Pilot tasks and milestones around a real release, with a named owner for each handover.
Product and site delivery
Work with the team to build or evolve a digital product and its public website.
Bounded AI work
Assess one agent-assisted task, define the inputs and review the output before any action is enabled.
What you can start with
Today, with our team
Managed platform/site delivery, work-management records and an AI gateway exist. Any AI workflow needs its own configuration, evaluation and access check; this does not make an autonomous engineering team available.
Limits and what comes later
The unified Control Tower and self-service Cloud control plane are planned. COS/Cortex work is not a generally available service, and no universal toolchain synchronization is claimed.
Relevant foundations
Read capability evidence
See the current status, access and limitations of the product capabilities behind this approach.
Platform apps
Managed by Alodai
Read capability evidence — Platform apps →Projects, tasks and workforce
Managed by Alodai
Read capability evidence — Projects, tasks and workforce →Recorded run, not a production observation
Solutions
From learning to a useful internal system
A repeatable problem earns a product. A pilot comes first.
Training
Give the team a shared understanding of AI and its limits.
Diagnosis
Map one process, its data, owners and current tools.
Pilot
Test a bounded change with human review and agreed criteria.
Internal system
Extend what works. Consider SaaS only if the problem repeats.
START WITH YOUR TEAM
Which part of your work needs to change?
Describe the process, the tools you use and the point where work gets stuck. We will scope a first conversation.