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Accelerate your tech teams with agentic AI.

Claude Code + MCP + CI/CD toolchain, certifying training, ROI dashboard per squad. For enterprise CIOs with existing tech teams.

Start the diagnostic See the 3 phases →
Current tech budget
Maintenance & Run72%
New projects18%
AI Innovation10%
After CIO Boost →
Reallocated budget
Maintenance45%
Innovation55%
Reduce time on run. Invest in what creates value.
The reality

Technical debt slows
everything else down.

It's not a skills problem or an ambition problem. It's a ratio problem: too much time on run, not enough on innovation.

72%
of dev time spent on maintenance
72% of your teams' time goes to run and maintenance. Not on features.
24×
hours/week lost per senior dev
24 hours per week on average spent on low-value repetitive tasks.
2-3
years to train an autonomous AI dev
2 to 3 years of learning curve to master AI tools — without support.
The 3 phases

3 phases.
From diagnosis to scale.

3 progressive phases over 3–6 months (2–8 weeks each). From phase 2, your pilot squads run with Claude Code. Phase 3 industrializes and generates measurable ROI.

1Dev Diagnostic2–3 weeks

Radiography of your tech teams: stack, practices, debt, concrete AI opportunities.

Stack audit
Review of your technologies, frameworks, DevOps practices and identified friction points.
Debt analysis
Mapping of technical debt and high-ROI zones for automation.
Team benchmark
Assessment of your teams' AI maturity level and upskilling needs.
Deliverables 1
Diagnostic reportBaseline KPIsRecommendationsPhase 2 roadmap
2Claude Code Deployment4–8 weeks

Tooling, training and measurable first gains on your pilot squads.

Toolchain setup
Installation and configuration of Claude Code, MCP servers and CI/CD integrations.
N1-N4 classification
Implementation of the repository classification system by sensitivity levels.
Squad training
Hands-on training for your teams on Claude Code practices and recommended patterns.
Gain measurement
Setup of the measurement dashboard and first productivity metrics.
Observability
Setup of monitoring and dashboards measuring AI gains per squad.
Documentation & runbook
Usage guides and operational runbook for team autonomy.
Deliverables 2
Toolchain deployedSquads trainedROI dashboardGains report
3Governance & Scale2–4 weeks

Industrialization, AI policies, extension to all teams and measurable ROI.

AI policies
Writing AI usage policies: authorized scopes, review rules, escalations.
Scale teams
Extension of deployment to all tech teams with dedicated support.
LOOP™ governance
Implementation of the complete governance framework with traceability and audit trail.
Measurable ROI
Complete ROI report with baseline comparison, calculated savings and projection.
Management training
Awareness sessions for managers on AI KPIs and leading augmented teams.
Programme certification
Final validation and issuance of Koneetiv CIO Boost certifications.
Deliverables 3
Policies validatedAll teams activeGovernance liveFinal ROI reportProgramme certified
1

Dev Diagnostic

Phase 1
2–3 weeks

We analyze your repositories, development practices, CI/CD and friction points. At the end, you have a precise diagnosis of what Claude Code can improve — with baseline metrics to measure progress.

Stack audit

Review of your technologies, frameworks, DevOps practices and identified friction points.

Debt analysis

Mapping of technical debt and high-ROI zones for automation.

Team benchmark

Assessment of your teams' AI maturity level and upskilling needs.

Deliverables 1
Diagnostic reportBaseline KPIsRecommendationsPhase 2 roadmap
2

Claude Code Deployment

Phase 2
4–8 weeks

We deploy Claude Code on your pilot squads with the full toolchain: configured MCP, adapted CI/CD, N1-N4 classification rules, team training. You measure the gain from the first week.

Toolchain setup

Installation and configuration of Claude Code, MCP servers and CI/CD integrations.

N1-N4 classification

Implementation of the repository classification system by sensitivity levels.

Squad training

Hands-on training for your teams on Claude Code practices and recommended patterns.

Gain measurement

Setup of the measurement dashboard and first productivity metrics.

Observability

Setup of monitoring and dashboards measuring AI gains per squad.

Documentation & runbook

Usage guides and operational runbook for team autonomy.

Deliverables 2
Toolchain deployedSquads trainedROI dashboardGains report
3

Governance & Scale

Phase 3
2–4 weeks

We formalize AI usage policies, extend deployment to all your teams and put in place the LOOP™ governance framework. Each squad has an ROI dashboard with baseline comparison.

AI policies

Writing AI usage policies: authorized scopes, review rules, escalations.

Scale teams

Extension of deployment to all tech teams with dedicated support.

LOOP™ governance

Implementation of the complete governance framework with traceability and audit trail.

Measurable ROI

Complete ROI report with baseline comparison, calculated savings and projection.

Management training

Awareness sessions for managers on AI KPIs and leading augmented teams.

Programme certification

Final validation and issuance of Koneetiv CIO Boost certifications.

Deliverables 3
Policies validatedAll teams activeGovernance liveFinal ROI reportProgramme certified
Documented ROI

Sourced figures.
No estimates.

These metrics come from real Claude Code deployments in enterprise production.

24×
development speed acceleration
Anthropic 2025
75 j
days to train a team of 10 devs
Benchmark Koneetiv
2-3
years — ROI on training per MIT
Source: MIT, 2024
−40%
technical debt reduction in 6 months
Source: GitHub Copilot Enterprise Study
Code governance

No AI without a Framework.

Every repository, every file receives a classification level that precisely defines what Claude Code can or cannot do with it.

N1
Public · Open Source
Code with no confidentiality constraints. Claude Code usable with full autonomy.
Examples: public docs, utility scripts, generic internal libraries
N2
Internal · Standard
Non-sensitive internal code. Claude Code authorized, traceability logs required.
Examples: internal APIs, generic microservices, standard business tools
N3
Confidential · Business
Code containing sensitive business logic. Claude Code restricted + mandatory human review.
Examples: pricing engines, scoring algorithms, compliance rules
N4
Critical · Security
Critical infrastructure or security code. Claude Code forbidden — human only.
Examples: IAM, encryption, secret management, payment modules, audit logs
Leverage effect

Tech teams fluent in AI agents → business demand follows naturally.

CIO Boost isn't an end in itself. It's the best entry point for organizations whose tech teams want to understand and master AI before deploying business agents.

Without CIO Boost→With CIO Boost
✓Innovation budget freed by 20-30 points
✕72% of budget goes to maintenance
✓Devs autonomous on Claude Code + MCP
✕AI agents = black boxes for devs
✓Backlog cleared thanks to ×24 velocity
✕Business backlog on hold for 6 months
✓N1-N4 classification operational
✕No AI code governance
✓Natural bridge to business agents
✕Heavy dependency on external vendors

Current reality

72% of budget goes to maintenance
AI agents = black boxes for devs
Business backlog on hold for 6 months
No AI code governance
Heavy dependency on external vendors
→

After 3 months

Innovation budget freed by 20-30 points
Devs autonomous on Claude Code + MCP
Backlog cleared thanks to ×24 velocity
N1-N4 classification operational
Natural bridge to business agents
What you get

5 key deliverables.
from Phase 2. Measurable ROI

1AI Code Governance PolicyPhase 1

N1-N4 classification of your codebase. AI usage rules per level. Formal documentation submitted to CISO.

2AI Dev Toolchain (Claude Code + MCP + CI/CD)Phase 2

Full stack deployed in your pipelines: Claude Code, MCP servers, CI/CD hooks, automated review, test generation.

3Certified Developer TrainingPhase 3

Intensive training on Claude Code, advanced prompting, agentic patterns. Certificate for each trained developer.

4ROI Dashboard per SquadPhase 4

Real-time metrics per squad: velocity, quality, generated savings, cost/developer. COMEX-ready.

5AI Center of ExcellencePhase 5

Trained internal team, documented guidelines, champions per squad. Full autonomy post-Koneetiv engagement.

01
AI Code Governance Policy
N1-N4 classification of your codebase. AI usage rules per level. Formal documentation submitted to CISO.
02
AI Dev Toolchain (Claude Code + MCP + CI/CD)
Full stack deployed in your pipelines: Claude Code, MCP servers, CI/CD hooks, automated review, test generation.
03
Certified Developer Training
Intensive training on Claude Code, advanced prompting, agentic patterns. Certificate for each trained developer.
04
ROI Dashboard per Squad
Real-time metrics per squad: velocity, quality, generated savings, cost/developer. COMEX-ready.
05
AI Center of Excellence
Trained internal team, documented guidelines, champions per squad. Full autonomy post-Koneetiv engagement.
Other solutions

Koneetiv, c'est 5 entry points.

Quick entry
Claude Ignite
Identify your priority AI use cases in 2 to 4 weeks.
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Full programme
Moove to Claude
Deploy your first agents in production in 6 to 12 weeks.
Discover →
Strategic retainer
Claude Cockpit
Outsourced Chief AI Officer to steer your AI portfolio.
Discover →
Tech co-piloting
CIO Boost
You're already here.
Discover →
Regulatory compliance
Ignite AI Act
AI Act compliance in 5 weeks.
Discover →

Free diagnostic. 30 minutes,
5 questions.

We assess your current situation, team size, and stack. We tell you if CIO Boost is the right entry point — and what ROI you can reasonably expect.

Book the diagnostic