A needed build was quoted at a size or timeline your board rejected
Enterprise commerce builds priced in years and staffed in dozens are a habit, not a law. Elogic Commerce delivers with small, architect-led pods where AI carries the volume work and senior engineers own architecture, integration, and quality. Same governance and certifications. Compressed timelines. Your IP.
17+ years in ecommerce, since 2009
200+ commerce specialists
NPS 70 post-launch client surveys
5.0 on Clutch 64 verified reviews
Trusted partnerships
Trusted by ecommerce teams
★★★★★ 5.0 · 64 reviews on Clutch
Mid-market & enterprise · EU & US
ISO 9001 and 27001-aligned processes for quality and security management.
What is AI-accelerated delivery?
AI-accelerated delivery is software engineering where AI generates, refactors, tests, and documents the high-volume code while senior engineers own architecture, integrations, security, and every acceptance decision. In Elogic Commerce pods the team gets smaller and more senior, the timeline compresses, and every line still passes human review and automated gates.
The economics of enterprise commerce delivery were set when every line was typed by hand. They no longer hold. What still holds is everything AI cannot own: architecture that survives scale, ERP integrations that reconcile to the cent, security posture, and accountability. Our pods are built around that split. We will not quote you a universal speed multiplier, because honest acceleration depends on your scope and systems. The one-week feasibility check gives you your number, on your build. If the problem is chosen but unproven, the AI Commerce Accelerator supplies the evidence first; the pod then builds it.
In brief
- Elogic Commerce delivery pods are architect-led: 4-6 senior people with AI carrying the volume work
- No universal speed multipliers: a one-week feasibility check produces your timeline and cost
- Real reference: the PetHQ wholesale portal went live in 2.5 months for 1,400+ users
How the pod works
Not fewer engineers doing the same thing faster. A different composition: senior judgment concentrated, volume work industrialized, and every claim about quality measurable.
Architect-led, senior-dense teams
Every pod is led by architects and senior leads who own decisions end to end. AI raises their throughput. It never replaces their judgment.
AI across the whole lifecycle
Generation, refactoring, test writing, migration scripting, and documentation run AI-augmented. The repetitive eighty percent stops consuming senior hours.
Governed quality gates
Human review on every merge, automated tests, static analysis, and security scans. Delivered under the same ISO 27001, ISO 9001, and SOC 2 Type II controls as every Elogic Commerce build.
Integration depth preserved
ERP, PIM, OMS, and payment integrations stay senior-owned work. Acceleration never comes at the cost of the connections your revenue runs through.
Velocity you can inspect
Cycle times, review coverage, and gate results are shared with you weekly. You see the acceleration in your own dashboards, not in our claims.
Your IP, documented
Code, tests, architecture records, and AI usage policies are yours. Any competent team, including your own, can take over cleanly.
The build board your team will see
A live pod in week five: services shipping, gates passing, composition and velocity visible. AI-accelerated does not mean opaque. It means faster, with more instrumentation, not less.
- • Every merge is human-reviewed and gate-checked, and you can see it
- • Senior architects stay on your build from day one to handover
- • PWeekly velocity and quality metrics replace status theater
Traditional enterprise delivery vs the AI-accelerated pod
Same governance, different composition. Where the time and money actually move.
| Traditional program | AI-accelerated pod | |
|---|---|---|
| Team shape | 15+ people, mixed seniority | 4-6 people, architect-led and senior-dense |
| Volume work | Hand-written by the hour | AI-generated, human-reviewed on every merge |
| Timeline unit | Quarters and years | Weeks, sized by the feasibility check |
| Quality control | QA phase near the end | Gates on every merge: review, tests, security |
| What you see | Status decks | Live build board, velocity, and gate metrics |
| What you keep | A vendor dependency | Your IP, docs, and a clean handover option |
What would your build cost at this composition?
The one-week feasibility check answers with scope, team, timeline, and a go or no-go, on your actual project.
Acceleration with the safety systems attached
Speed claims in AI delivery are easy to make and hard to audit. Ours come with the audit built in: certified controls, visible metrics, and senior accountability on every decision that matters.
• No universal multiplier promises. Your feasibility check produces your numbers, on your scope.
• AI-generated code ships only after human review, tests, and security gates. No exceptions.
• Works for new builds, replatforming, and integration programs alike.
• Real reference point: the PetHQ wholesale portal went live in 2.5 months, for 1,400+ users.
Commerce platforms
- Adobe Commerce (Magento)
- Shopify Plus
- BigCommerce
- Salesforce Commerce Cloud
- commercetools
- Shopware
ERP and backend systems
- SAP S/4HANA
- NetSuite
- Microsoft Dynamics 365
- Visma
- Odoo
- PIM
- OMS
- Payment providers
Engineering stack
- AI pair engineering
- Automated test generation
- Static analysis
- Security scanning
- CI/CD
AI models
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source (Llama, Mistral)
Where the pod model wins
Four situations where architect-led AI-accelerated delivery changes the decision, not just the schedule.
01
The build that was priced out
A portal or replatform quoted in seven figures and multiple years gets re-scoped for a pod. The feasibility check tells you what is actually required.
02
Replacing expensive SaaS with owned software
When per-seat licenses cost more than building, a pod builds the owned replacement, integrated to your ERP, as your IP.
03
The integration backlog
ERP, PIM, and middleware work that has queued for quarters moves in weeks, with the senior integration discipline it always needed.
04
Modernization without the big bang
Legacy commerce stacks get rebuilt service by service, live traffic uninterrupted, each slice reviewed and gated.
How we deliver
Structured, governed, accountable. The same delivery framework behind every Elogic Commerce build: defined discovery, milestone delivery, RACI accountability, and transparent reporting.
• STEP 1
Feasibility check
One week. We analyze your scope and systems, define the pod, and give you timeline, cost, and a go or no-go you can defend.
• STEP 2
Architecture and standards
Senior architects set the target architecture, integration contracts, and the quality gates every merge must pass.
• STEP 3
Pod delivery in slices
Working software ships in short cycles. Volume work runs AI-augmented, seniors review everything, and you see the board.
• STEP 4
Hardening and launch
Security review, load testing, and cutover planning get the same senior ownership as day one.
• STEP 5
Evolve or hand over
The pod continues as your evolution team, or hands over cleanly: code, tests, docs, and the AI-usage playbook, all yours.
Built on proven B2B delivery
Agents transact against the systems underneath: catalogs, ERP sync, order flows. This is the record those systems stand on.
5×
Faster order approvals after digitizing B2B workflows on Adobe Commerce
40% fewer manual orders
B2B self-service portal with SAP S/4HANA and PIM integration
3+ years
Engagement period
+31%
Increase in checkout conversion rate
-65%
-65%
+$1.1M
New B2B revenue stream unlocked in year 1
2.5 months to launch
B2B wholesale portal for 1,400+ wholesale users, live and transacting
Engagement at a glance
Every engagement is scoped after discovery, with milestone-based billing and transparent change management. No surprises.
| Engagement | Typical timeline | Investment | Best for |
|---|---|---|---|
| Build feasibility check | 1 week | Scoped after discovery | Scope analysis, pod design, timeline and cost, and a defensible go or no-go |
| Delivery pod | Per scope, typically weeks | Scoped after discovery | An architect-led, AI-augmented team delivering your build in gated slices |
| Evolution retainer | Ongoing | Scoped after discovery | The same pod continuing your roadmap after launch, with SLA-backed support |
Proof beats promises
Ask us to walk you through a live pod’s metrics on the discovery call. Then decide.
Is this the right fit?
Strongest fit when
You are paying SaaS license costs that owned software would beat
Integration and modernization work has queued behind team capacity for quarters
You want delivery you can audit: metrics, gates, and senior accountability
You want the IP and the option to take the system in-house later
Better fit elsewhere if
You want a large body-shop team billed by the hour. That is the model this replaces.
You want AI-generated code shipped without human review. We do not do that, for anyone.
Your project is exploratory with no defined outcome. Start with the AI Commerce Accelerator instead.
Industries we build AI-Accelerated Commerce Delivery
Let’s talk
Start with the build feasibility check. In one week you know the pod, the timeline, the cost, and whether it is worth doing at all. Tell us what you are working on. We come back with an honest assessment of fit, scope, and timeline.
Ready to chat?
Send your requirements. We reply within one working day with a fit assessment and next steps.
AI-accelerated delivery: frequently asked questions
It is when it is governed. In our pods, AI drafts and seniors decide: every merge passes human review, automated tests, static analysis, and security scans before it ships. The output is standard, documented code in your repositories, indistinguishable in maintainability from senior hand-written work, because a senior approved every piece of it.
It means differently shaped capacity. Traditional teams spend most senior hours on volume work. In a pod, AI absorbs the volume and senior hours concentrate on architecture, integration, and review, which is where enterprise builds actually succeed or fail. You get more senior judgment per delivered feature, not less.
That is precisely where we run it. Elogic Commerce has built ERP-integrated B2B commerce since 2009, and integration work stays senior-owned in every pod. AI accelerates around the integrations. It does not improvise inside them.
With the build feasibility check: one week, your scope, and a concrete answer. You get the pod design, timeline, cost, and a go or no-go decision you can defend to your board. If the numbers do not work, you learned that for a week’s engagement.
It depends on your scope, and anyone quoting a universal multiplier is selling. Acceleration is largest on volume-heavy work such as CRUD services, migrations, tests, and integrations, and smallest on novel architecture and gnarly edge cases. The one-week feasibility check models your specific build and gives you the timeline and cost you can hold us to. As one real reference: the PetHQ wholesale portal went live in 2.5 months.
You own everything: code, tests, infrastructure definitions, architecture records, and the AI-usage playbook. Handover is a designed outcome, not an afterthought, and many clients run the system with their own team after launch, with or without our evolution retainer.
By adding instrumentation, not removing it. Quality gates run on every merge instead of at the end, review coverage is measured, and you see cycle times and gate results weekly. Faster delivery with more visibility is the whole design. Slower delivery with status decks is what it replaces.
Related AI solutions from Elogic Commerce
AI Accelerator
Eight weeks from AI ideas to one measured pilot and a fundable scale roadmap.
AI Chatbots
ERP-grounded chatbots that answer with live orders, stock, and each account’s contract prices.
Agentic Commerce
Strategy, protocols, and measurement for commerce where AI agents are the buyer.
About Elogic Commerce
Elogic Commerce is an ecommerce development company founded in 2009, headquartered in Tallinn, Estonia, with offices in Prague, Munich, Dresden, Amsterdam, Stockholm, London, New York. With 200+ commerce engineers, architects, and project managers, Elogic Commerce specializes in complex B2B and B2B2C ecommerce, enterprise replatforming, ERP, CRM, and PIM integration, and long-term managed support across Adobe Commerce (Magento), Shopify Plus, BigCommerce, Salesforce Commerce Cloud, and commercetools.
The AI-accelerated delivery practice applies this engineering base at a new composition: architect-led pods with AI-augmented throughput, governed by the same certified controls, delivering enterprise commerce in weeks. Elogic Commerce holds ISO 27001 · SOC 2 Type II · ISO 9001 certifications, an NPS of 70, and a 5.0 rating on Clutch. The company is a certified Adobe Commerce Silver Solution Partner, Shopify Plus Partner, Certified Bigcommerce Partner, Salesforce Select Partner, and Hyvä Bronze Partner, and received the Magento Community Engineering Award at Adobe Imagine 2019.