Our approach
How Senora adapts a workflow
Senora helps engineering organizations adapt their workflows, platform foundations, and controls for agent-driven software delivery. Engagements start with one selected workflow and a measurable pilot.
- Stage 01
- Map one workflow
- Stage 02
- Design the changes
- Stage 03
- Pilot and measure
The Senora Method
One workflow first, not the whole organization
Map how work moves today, find where it stalls, and decide what has to change before building or buying more tools. The pilot is where the design gets tested.
Where does an agent-produced change wait, and what has to change for it to move?
Five areas we work on
Each area produces something a team can use without us in the room.
- 01
Engineering context
Give agents access to relevant, current information about the codebase and the decisions behind it
- MCP servers and tool access to repositories, issues, and design records
- Indexed decisions and conventions an agent can cite
Output · Agents work from current, traceable context
- 02
Workflow design
Define how agent-produced changes move through repositories, environments, and teams
- Agent tasks tied to issues and acceptance criteria
- Branches, CI/CD, and environments that fit agent work
Output · A repeatable workflow with justified variations
- 03
Standards and validation
Make the required quality and security checks clear, repeatable, and appropriate to the change
- Golden paths and templates agents can follow
- Required checks and review expectations per change type
Output · Checks teams and agents can rely on
- 04
Ownership and controls
Clarify what agents may do and where people review, approve, or intervene
- Agent identities, scoped permissions, and secrets handling
- Approval rules by action, environment, and policy
Output · Explicit owners and proportionate controls
- 05
Measurement and improvement
Track waiting, rework, and delivery outcomes, then improve the workflow
- Actions and outcomes recorded for observability and audit
- Usage and cost visibility where it matters
Output · Measures that show where the workflow improves
Some teams describe this as a software factory or an AI-driven lifecycle. The label matters less than the workflow that turns intent into a validated change.
Bring one workflow
Bring one workflow you want to improve.
Tell us what a change has to go through today. We will talk through where it gets stuck and where we would start.