Ongoing collaboration
We work alongside your team to assess its starting point, implement changes across strategy, process, and tooling, and keep improving from measured results.
Discuss a collaborationWe help software teams build more with AI
Cortiscale helps software teams develop scalable AI tooling and workflows that increase delivery capacity and reduce AI costs.
AI tools need a system to scale. We build that.
We build agent tools and platforms, align them with company goals, and adapt how teams work to make delivery repeatable and measurable.
How we work
Tailored training
One-off training adapted to your software team’s experience with AI, from getting started to improving established coding practices.
Discuss trainingResults from our work
Standardization
151% higher delivery velocity
Three teams with 15 developers adopted shared agent configurations, training, and verification practices.
Read the case studyAutonomous development
4–7× faster team delivery
Parallel cloud agents increased the teams' total delivery of changes. Human approval remained required for merging and releases.
Read the case studyToken optimization
53% lower token costs
Model API charges per successful task fell by 53% at a comparable workload, with task success broadly stable. Model routing and focused context reduced spend.
Read the case studyEvaluation and benchmarking
58% → 87% agent success
Success rose by 29 percentage points on the same held-out tasks, using the same checks and run budget.
Read the case studyOur approach
Strategy
Where should AI create value?
Process
How should teams work with agents?
Platform
What do agents need to deliver?
Your starting point
No AI rollout yet
Choose and roll out a shared agent harness, training, integrations, and guardrails.
AI use without shared rules
Bring scattered tools and habits into a consistent way of working.
Agents already in use
Improve execution capacity, task success, and cost with measured changes.
Our approach
Strategy, process, and platform.
Practical changes to your roadmap, development workflows, and agent infrastructure.
CORE SERVICES
Strategy
- Readiness assessment
- Success measures
- Transformation roadmap
Process
- Roles and handoffs
- Autonomy posture
- Human approvals
Platform
- Development environment standardization
- Context engineering
- Agent orchestration
- Agent observability
- Evaluations
- Model routing
- Token optimization
MAKE IT STICK
Enablement
- Team training
- Workflow ownership
- Governed learning
How we work
From company priorities to everyday practice.
We shape the plan with your team, put it into practice, and improve from evidence.
Understand the company
Map company goals, current workflows, AI use, and blockers.
Prioritize the change
Compare value, effort, risk, and readiness; choose owners and success measures.
Adapt how work gets done
Agree roles, handoffs, and review responsibilities as AI changes the work.
Implement and verify
Build the chosen platform and workflows; verify them on representative tasks.
Support adoption
Help the team delegate, review output, and use shared practices.
Measure and improve
Review delivery, quality, and cost; refine what works and expand proven workflows.
Your team keeps the decisions.
Your team owns its workflows and sets agent access and approval points. Engineers review code changes; production release keeps strong human control. We add autonomy only where results justify it.
Start a conversation
What would you like your team to achieve with AI?
Tell us how your software team uses AI today and what you’d like to improve. We’ll discuss whether tailored training or an ongoing collaboration fits.