Many SMEs launch digital platforms expecting strong adoption, only to see users abandon key flows. Complex navigation, slow load times, and inconsistent layouts disrupt the journey and reduce repeat visits. These issues often go unnoticed until analytics reveal high bounce rates or low conversion from critical touchpoints.

Our experts combine diagnostic tools like GA4, Hotjar, and Mixpanel with usability testing to map exactly where drop-offs occur. Using this data, we recommend redesigning layouts in Figma, improving performance with optimized assets, and validating changes through structured A/B testing. The goal is to simplify user decision-making and remove every point of friction.

This approach yields higher engagement, lower bounce rates, and measurable increases in task completion rates for key business actions, such as sign-ups, checkouts, or bookings.

Example: A subscription app notices a high drop-off rate during the onboarding process. We will recommend tracking user behavior with Hotjar, identifying friction points in form steps, and redesigning the flow to optimize load performance. This will reduce abandonment and improve subscription conversions.

Without a structured IT budget, SMEs often overspend on underutilized tools, such as redundant SaaS subscriptions, duplicate analytics platforms, or inactive cloud instances, or fail to invest in critical systems that drive growth. This leads to inefficiencies and missed opportunities.

We utilize FinOps tools, including AWS Cost Explorer for spend analysis, Azure Cost Management for budget tracking, and CloudHealth for optimization to create budgets aligned with business priorities. Our process involves tagging resources in AWS or Azure for accountability, modelling usage scenarios to forecast future spend, and identifying areas for cost reduction.

Our recommendations are aligned to ensure that funding is allocated to high-impact technologies such as UiPath for automation, or Snowflake for scalable analytics. This enables disciplined spending, improved forecasting, and maximized value from IT investments.

Example: A SaaS startup overspends on unused software licenses while underfunding automation. We will audit their current spend, recommend retiring low-value software, and reallocate funds to high-impact automation solutions. This will improve efficiency and maximize ROI.

Outdated infrastructure and siloed systems hinder SMEs’ ability to respond quickly to market shifts or handle increased demand. Slow integrations and manual data syncing result in delayed insights and inconsistent customer experiences.

We recommend rebuilding systems with Kubernetes to run and manage applications efficiently, AWS Lambda to handle scaling without managing servers, and Kafka to process data in real-time. Moreover, IoT and edge computing enable the instant tracking of assets, while API gateways maintain secure connections between different applications. This creates a technology setup that can adapt quickly to changes without losing reliability.

Ultimately, this enables you to scale up during peak demand without service degradation, maintain accurate data across all channels, and respond to customer needs in real-time.

Example: A logistics provider experiences inaccurate delivery ETAs due to delayed tracking updates. We will recommend implementing AWS IoT fleet tracking, enabling edge-based processing, and integrating updates into their customer portal. This will improve ETA accuracy, reduce delivery delays, and enhance customer satisfaction.

Unaddressed security vulnerabilities and non-compliance with regulations put sensitive data and business credibility at risk. A breach or failed audit can cause severe financial and reputational damage.

We conduct comprehensive, end-to-end risk assessments using tools such as Qualys and Rapid7 to identify system weaknesses. We also suggest mapping data flows across applications and infrastructure to identify where sensitive information is stored and transmitted. Furthermore, we recommend aligning operations with ISO 27001, NIST CSF, and relevant US compliance standards.

We also create a threat model using the Microsoft Threat Modeling Tool, scan for vulnerabilities with Nessus, and suggest enforcing strong access controls via Okta or AWS IAM.

All of these combined can help you reduce the likelihood of breaches, strengthen your compliance posture, and ensure smoother audit outcomes.

Example: A healthcare SME risks non-compliance due to inconsistent data handling practices. We will recommend auditing workflows, encrypting sensitive data, and implementing access controls that align with regulatory standards. This will reduce vulnerabilities and ensure compliance.