Stabilizing and Scaling Spobik
Turning a slow e-commerce site into a fast, secure revenue-generating platform
Key Results:
- 6x faster load time (600 ms → 38 ms)
- Updates for 500,000+ items in ~10 min
- Largest Contentful Paint: 0.24 seconds
We consulted on 30+ AI projects. From strategy to deployment, we help companies identify where AI pays off and get implementation right the first time.
Map where AI creates a defensible advantage. We run workshops to surface opportunities, vet them against technical feasibility and ROI, and build a roadmap.
Most AI projects fail because data is a mess. We assess your data assets, recommend infrastructure changes, and architect systems that can scale.
Assess your organization’s readiness for AI adoption. We evaluate your data quality, infrastructure, and capacity to support AI initiatives.
A checklist of what to build and in what order. This includes timelines, resource needs, compliance gates, and what each phase delivers.
LLMs are good at some things and terrible at others. We help you decide what belongs in an LLM and what doesn’t. Then we help you deploy it responsibly.
| AI Consulting Benefit | Business Impact |
|---|---|
| Multi-agent systems | For workflows that benefit from autonomous decision-making |
| Retrieval-Augmented Generation | LLMs paired with your data for customer support, content creation, & more |
| Multimodal AI | When you need to process images, video, or audio alongside text |
| Enterprise search | Semantic search across structured and unstructured data |
| Predictive analytics | Forecasting and anomaly detection on your data |
| Computer vision | Quality inspection, object detection, and visual analytics |
Goals and constraintsWhat does success look like? What infrastructure exists today? Where are the blockages?
|
#2
|
Options and roadmapWe present 2-3 approaches, pros and cons of each, and a prioritized roadmap.
|
#4
|
Build and deployWe design the solution, implement it, integrate it, and hand it off to your team.
|
#6
|
|
#1
|
Readiness assessmentWe evaluate your data maturity, capabilities, and organizational readiness. Gaps are flagged.
|
#3
|
Technology selectionWe guide vendor evaluation, licensing, and procurement to help you choose suitable tools.
|
#5
|
SupportPerformance tracking and optimization. We stay involved for 6 months post-launch.
|
Group Manager, Guesty
CIO at AB Stenströms Skjortfabrik
CEO at The African Touch
That’s exactly what we do. We run proofs-of-concept and prototypes to test technical feasibility and business impact. A spike takes 2-4 weeks. We’ll tell you if the idea works in your environment, what it costs, and what ROI looks like.
We assess your data foundation upfront. If it’s weak, we fix it first. This might mean redesigning pipelines, improving data quality, or restructuring your data architecture. Skipping this step causes most AI projects to fail.
Pricing depends on scope and duration. A feasibility assessment runs 2-4 weeks. Full implementation engagements range from 3-12 months. We tailor pricing to your budget and ROI expectations. Most clients recover costs within the first year.
AI consulting guides you from strategy through deployment. We help you identify where AI delivers business value, build a roadmap, and implement it in your environment. We cover everything from planning to production handoff.
We focus on practical, measurable outcomes. Not buzzwords. We identify which AI applications actually impact your business, build solutions that scale in production, and establish governance so AI stays trustworthy and compliant.
You avoid costly mistakes. Our experience across 60+ projects means we know which approaches work and which don’t. We speed your time to value, reduce implementation risk, and ensure your AI stays responsible and compliant from day one.