"Any aspect of the solution not explicitly defined in the ontology will manifest as unpredictable implementation ranging from complete omission to unstable functionality."– Fundamental Law of Agentic Engineering
Ship Production Code in<2 Hours, Not 2 Weeks
Transform your development lifecycle with Agentic Continuous Flow (ACF) – the measured approach to AI-first engineering that delivers 10x deployment frequency without disrupting your team.
Risk Workshop
Evaluate your current AI risk exposure and transformation readiness with quantitative metrics.
ACF (Agentic Continuous Flow)
Intelligence as infrastructure. 10x deployment frequency. Sub-2-hour lead times.
Judge Agents (Quality Assurance)
Risk-weighted governance: 90% auto-ship, 10% human review. Hallucination prevention.
// Trusted by engineering teams shipping mission-critical software daily
<2h
Lead Time
10x
Deploy Frequency
67%
Fewer Defects
The Hidden Cost of Traditional Development
--Current Reality
++What's Possible
Intelligence as Infrastructure
ACF treats AI not as a tool but as infrastructure – scalable, reliable, orchestrated. Your engineers become conductors of intelligent systems rather than manual executors of repetitive tasks.
waiting for reviewer... waiting for reviewer... 3 change requests received.
running static analysis... verifying security compliance... merged with 2 AI-suggested optimizations. deploy pipeline triggered.
orchestration.jsNot Replacement. Multiplication.
Your engineers don't disappear. They evolve into system orchestrators, focusing on architecture design and complex problem-solving while intelligent agents handle repetitive implementation details.
The 4-Sprint Journey to AI-First Development
Transform your engineering organization in 8 weeks. No disruption. Measured progress. Complete ownership.
Blueprint
Deliverable:
Custom ACF Implementation Blueprint with ROI model
Discovery Without Disruption
Map your current development lifecycle, identify integration points, establish baselines. No code changes – pure learning and strategic planning.
> Analyzing current engineering process... > Identifying bottlenecks... > Mapping integration points... > Calculating baseline metrics... Report complete: 3 critical bottlenecks identified Estimated lead time reduction: 68-74% Investment recovery projection: Sprint 4 completion
Investment Metrics
Duration
8 wk
ROI Time
6 wk
1Y Return
3x
$ acf --calc-roi --team-size=25 --eng-salary=180000
Annual Value Creation: $2.1M
Proven Results, Not Promises
Measured improvements from ACF implementation across engineering organizations
speed.metrics
<2h
Lead times (vs industry average 5-10 days)
frequency.metrics
20×
Deployments per week (vs 2× industry average)
quality.metrics
67%
Fewer production defects through AI verification
focus.metrics
70%
More time on innovation vs repetitive tasks
speed.metrics
3×
Feature velocity improvement
value.metrics
250%
Year 1 ROI (conservative estimate)
> Average lead time: 1h 37m > Industry average: 7d 4h > Improvement: 98.1% > Confidence interval: ±1.2%
Case Study: Enterprise SaaS Platform
BEFORE
8-day feature cycle
15 engineers
2-3 per week
AFTER
4-hour feature cycle
15 engineers
25-30 per week
IMPACT
3× feature velocity
50% reduction in bugs
100% engineer retention
Investment and Returns
Choose the engagement that fits your timeline and goals
Full Transformation
4 Sprints (8 weeks)
Complete ACF implementation with full knowledge transfer
- 8-week complete implementation
- ROI positive by week 6
- Full knowledge transfer included
- Self-sufficient organization outcome
Pilot Program
2 Sprints (4 weeks)
Proof of concept with single team transformation
- 4-week proof of concept
- Single team transformation
- Clear go/no-go metrics
- Foundation for scaling
Discovery Workshop
2 Days
Executive alignment and custom blueprint development
- 2-day executive alignment session
- Custom blueprint development
- No implementation commitment
- Clear transformation roadmap
Measurable ROI
Investment
8-week engagement
Breakeven
Week 6
Year 1 Return
250% (conservative)
Ongoing Benefit
$2M+ annually
for 30-person team
About Fibonacci 7
We're engineers who've lived through every development methodology from waterfall to agile to DevOps. ACF isn't theoretical – it's the synthesis of what actually works when you stop pretending intelligence is scarce.
Our team has deployed ACF across industries from fintech to logistics, consistently delivering sub-2-hour lead times and 10x deployment frequency improvements.
Why Now?
Every week you delay is a week your competition ships 10x more features. The tools exist. The methods are proven. The only variable is timing.
ACF is inevitable. The question is whether you lead or follow.
Frequently Asked Questions
Common questions about ACF transformation
Does ACF work for non-tech companies?
If you have engineers writing code, ACF multiplies their impact regardless of industry.
What about our unique processes?
ACF adapts to your workflow, not the other way around. Sprint 1 is entirely about understanding your specific context.
How is this different from just using Copilot?
Individual AI tools provide 10-30% gains. ACF orchestrates them into a system delivering 500-1000% improvements.
What if we're not ready?
That's why we start with a learning sprint. You build readiness through measured steps, not leaps of faith.
Your Next Step
30-minute readiness workshop to outline your specific transformation path
Intelligence as Infrastructure
Transform AI from a tool to scalable, reliable infrastructure
10× Deployment Frequency
Ship code in hours, not weeks, with proven ACF methodology
Same Team, More Impact
Your engineers evolve into orchestrators of intelligent systems
30 min
8 weeks
Week 12