Professional IT Consulting Services to Accelerate Business Growth

85%+ time reduction in manual anomaly review 60–70% drop in false-positive alert rate Multi-table anomaly detection across 5 ERP modules simultaneously 80%+ faster post-close triage, from days to hours Prior to our intervention, this client’s finance department had trouble keeping tabs on data discrepancies. Manual checks covered only up to 10% to 15% of their financial records, leaving a significant number of transactions unchecked. During discovery, we mapped which of their ERP modules were generating the most errors and where their reviews were falling through the cracks. Then, we scoped a modern, AI-based anomaly detection assistant instead of sticking with yet another round of the same rule-based checks that were already causing alert fatigue.

64% faster CRM onboarding 90% of CRM queries resolved solely by the AI chatbot 5+ hours per week saved per sales rep CRM record completeness grew to 96% The client had added 10 reps in just 18 months, from 14 to 24 total, and onboarding emerged as the single greatest barrier to adding to the sales pipeline. Scripted chatbots and FAQ widgets had already been attempted and ignored by their reps. Our discovery process focused on mapping questions the team asked each other, determining which internal documentation perpetually went stale, and where manual data entry was silently wrecking record quality. These insights shaped the business case for an LLM-powered assistant built to take actual CRM actions instead of simply responding to questions.

3-month MVP built from scratch 3 user roles built into the platform from launch Multi-blockchain support from day one Architecture designed to support 100K+ online users The client had no codebase or design documents when they came to us, but their marketing team had already booked the launch date. We got to work, quickly scoping an MVP that supported two very different users: first-time buyers and experienced traders. Our design strategy supported adding depth in layers instead of stacking features under hidden navigation structures, so both user types could interact with the system without having an all-or-nothing experience.

3 distinct user roles: landlord, tenant, service provider 1 codebase powering both iOS and Android 1,000+ listings wishlisted in the first 4 weeks Expanded from Finland-only to availability across Europe This project had ballooned from its original plan as a single-purpose tax calculator into a robust platform that already included disparate functionality. During discovery, we mapped three user types, conducted a full codebase audit, and then worked to peel away the Finnish tax model into its own separate module, enabling a much faster rollout for the product into other European countries. This also meant it won’t need to be rebuilt every time the platform expanded into a new market.

60–70% faster game film review 15 hours per week saved per coaching staff member 92%+ accuracy on player pose recognition Under 0.8 seconds per-frame inference time Coaching staff spent 15 to 18 hours a week on manual film review, and even then, only 8–10 possessions got a real look out of 180 or more in a single game. During discovery, we analyzed how coaches actually watch and tag films, what the client’s gold-standard gesture data looked like, and which of the available cloud platforms would be suitable for near-real-time pose tracking, so we could then deliver a computer vision AI-based pipeline built for the coaches’ already ingrained workflows.