Agentic systems & internal AI
Agentic Systems & Internal AI
AI workflows, internal copilots, and multi-step agent systems built for production use.
See service detailsCoEdify Technology LLP — operators, not advisors
Production AI for your business — built by a team that runs its own.
CoEdify is a 6-year engineering company behind revsko and devsko. We take one high-leverage workflow, ship a working first phase within two weeks, and if that phase does not satisfy, you do not pay for it.
2 weeksTo a meaningful first deliverable — or you do not pay
2 live productsdevsko active with customers; revsko opening founding pilots
EngineeringAgentic systems, AI features, and automation
What we build for you
Selected AI engineering work, shipped fast.
Focused engagements in agentic workflows, AI-native product features, and the platform work around them — taken on when the problem matches what we build and operate ourselves.
AI-native product features
AI-Native Product Features
AI product features and workflow systems for teams that need to move from prototype to production.
devsko is a live example — an AI assessment workflow we designed, built, and operate.
See service detailsPlatform & delivery engineering
Platform & Delivery Engineering
Platform, product, and internal tooling work that enables AI delivery and removes operational friction.
See service detailsAI leverage
Most companies use AI. Few run on it.
For founders and operators: we find where automation pays back fastest in how your business already works, then ship a working one into the tools your team already uses — in 2 weeks, not a strategy deck. Built for technical and non-technical leaders alike.
How we work
The first phase proves delivery instead of prolonging discovery.
The two-week commitment applies to the first agreed phase. It is not a promise that every full system ships in two weeks; it is a forcing function for useful evidence.
01
Pick one workflow
We scope the business workflow, current tools, success criteria, and the smallest useful first phase.
02
Ship the first phase
The first two weeks produce a working deliverable: an automation, product slice, or system component your team can review against the agreed scope.
03
Decide from evidence
If the first phase does not satisfy, you do not pay for that phase. If it does, we decide whether to extend, harden, or stop.
Proof, not promises
We operate our own AI products. That is the proof.
revsko and devsko are not demos. They force us to solve routing, approvals, data quality, evaluation, and reliability in real systems — the same problems your project will have.
Live — founding pilots open now
revsko
Booked qualified meetings, priced per outcome. Configured outbound for founder-led B2B services firms — approval-gated, with fees tied to qualified meetings.
Live and in active use from April 2025
devsko
AI hiring and assessment platform that turns job descriptions into structured, role-specific candidate evaluations.
Why CoEdify
The team that ships its own products ships yours.
Delivery commitment
A meaningful first deliverable in 2 weeks — or you do not pay for that phase
Engagements start with shipping, not workshops. It is how we remove buyer risk and hold ourselves accountable.
Engineering, not consulting
The same team builds our products and your project
devsko is live and revsko runs our own outbound. They are built by the engineers you would actually work with — delivery is the output, not decks.
Track record
Client work we can name publicly.
3-year engagement ending in January 2026
EquippedAI (now part of Belasko UK)
Reduced cloud infrastructure cost by 75 percent
Read the case studyCurrent active engagement as of April 2026
Kliq Analytics (Canada)
Building a complex multi-agent AI system for enterprise workflows
Founder
Led by an engineer who still builds.
devsko is live and revsko runs CoEdify's own outbound. Both are built by the same team that takes on selected client engineering work.
Read the founder page
Founder, CoEdify
Md Nadeem
- Background in enterprise software engineering and product delivery
- Built enterprise-scale marketing automation systems
- Writes publicly about agentic engineering and real delivery
Insights
Field notes from building agentic systems.
Practical writing on agentic workflow design, multi-agent coordination, and what separates systems that hold up in production from those that do not.
AI Leverage
AI Adoption Is Not Operational Leverage
Why giving teams AI tools is not the same as changing how the business runs, and what leaders should automate instead.
Read the articleAI Leverage
What a Two-Week AI Automation Phase Should Produce
A practical way for founders and executives to judge the first phase of an AI automation engagement without confusing speed with vague promises.
Read the articleAgentic Systems
The Agentic Prototype Is a Lie
Why your AI agent demo works perfectly and your production system doesn't — and the six engineering gaps that explain it.
Read the articleTalk to us
Bring the problem you need shipped.
An engineering call for agentic systems and AI features, or a working session for AI leverage and automation. Either way, the first phase ends with a working result.