Why scale-ups struggle as they grow

Growth doesn’t fail because of technology. As teams expand, decision-making slows, context gets lost, and coordination relies on workarounds. Managers are expected to keep things moving, but they lack visibility and leverage.

01

Information chaos

Critical context is scattered across tools and conversations, making it hard to see what’s happening and why.

02

No clear source of truth

Decisions and priorities live in meetings, inboxes, or Slack threads instead of one shared reference point.

03

Siloed teams

Teams work in parallel with limited awareness of overlap, impact, or shared goals.

04

Too many dependencies

Ownership is unclear, handoffs are fragile, and small delays ripple across teams.

05

Middle managers without real tools

They’re responsible for coordination and delivery but lack systems that support that role.

06

Ineffective meetings

Time is spent talking, but uncertainty and risk remain unresolved.

07

Knowledge loss

Expertise stays in people’s heads or disappears when they leave.

08

Fragile onboarding

New hires ramp up through tribal knowledge instead of structured access to information.

What Is Organizational AI Assessment

A 2–3 week, time-boxed discovery phase that maps how information, decisions, and knowledge actually move across your organization today. The goal is not to design “an AI strategy." The goal is to identify concrete bottlenecks where AI can improve day-to-day operations. A concise, decision-ready output: a practical diagnosis designed to reduce risk before building anything.

Organizational AI assessment is not:
‍
• A generic AI audit
• A technology shopping exercise
• A transformation roadmap

What you get

Transparent pricing and straightforward process.

A clear map of communication and data-access bottlenecks
A prioritized list of 3–5 AI use cases, ranked by impact and feasibility
A concrete recommendation for the first pilot or PoC, including: scope, rough timeline, cost range.
No long-term commitment required

Typical cost: $5–15k

Let's Talk

Full AI Integration Support

Building a world-class search engine requires robust custom ranking models, advanced language processing for user intent, and seamless integration into your existing e-commerce storefront.

01

Custom AI Model Development

Training the core predictive models responsible for ranking search results, optimizing the hierarchy based on conversion probability, inventory, and profit margin.

Custom AI Model Development & Integration

02

Generative AI Development

Using fine-tuned LLMs and NLP techniques to correct misspelled queries, refine vague inputs, and provide dynamic, conversation-like autosuggestions.

Generative AI Development

03

Web Platform Development

Ensuring the high-speed search engine integrates flawlessly and responsively with your existing frontend (Shopify, Magento, custom system) via robust, low-latency APIs.

Web Development

How the assessment works

From raw data to a concrete pilot. Over 14–21 days, we audit your communication and decision-making systems through structured interviews and surveys. We map where context is lost and identify exactly where AI can provide the most leverage with the least risk.

01

Stakeholder interviews

We conduct 10–15 structured interviews across functions and seniority to understand:
• where decisions stall
• where context gets lost
• where teams depend on informal knowledge

02

Quantitative signal

A short internal survey (0–5 scale) measures:
• communication clarity,
• data accessibility,
• decision confidence.

This creates a baseline you can revisit later.

03

Information-flow mapping

We map real flows:
• top-down (leadership → teams)
• bottom-up (frontline → leadership)
• cross-functional dependencies

This exposes friction that org charts and tools hide.