We help B2B SaaS teams move from AI ideas to production-ready features without disrupting your core product or hiring a full AI team.
Most AI initiatives fail not because the models fail, but because organizations neglect strategy, data, governance, and integration into real workflows. The problems are usually organizational and architectural, not algorithmic.
Teams start with "AI for AI's sake" pilots without a specific pain point, target KPI, or success criteria. Projects chase hype instead of measurable "$50K problems" where a win would build credibility.
Models work in a sandbox, but no one planned authentication, security, monitoring, or user training for production. 40–50% of pilots never reach real users because deployment ownership is unclear.
Poor data quality, fragmented sources (CRM, ERP, line-of-business systems), and lack of governance derail SaaS AI projects. Legacy architectures cannot meet modern privacy and compliance requirements.
AI tools sit outside core systems like ERP or CRM, forcing manual copy-paste. Integration patterns and APIs are underfunded, so models never become embedded in day-to-day business flows.
Front-line users don't trust AI outputs if they're not involved from the start. Without structured training and incentives, users keep old workflows and accurate models go unused.
Multiple teams spin up their own pilots, stacks, and vector databases without coordination, creating duplicated costs and inconsistent standards across the SaaS platform.
You don't need an AI lab or more experiments.
You need a focused team that ships one production-ready feature—integrated, governed, and trusted by users.
One Feature. One Scope. Fixed Cost. Predictable Delivery.
We use a sprint-based delivery model designed specifically for production SaaS environments.
Phase 1
A clear implementation plan with architecture diagrams, risk assessment, and timeline estimate.
If the use case isn't viable, we stop here—with recommendations. No forced implementation.
Phase 2
Scope discipline is strict—we build what moves the needle, not experiments.
Phase 3
Your team fully owns the feature after delivery.
Fixed Investment
No obligation to proceed. If the use case isn't viable, we stop here with clear recommendations.
Custom Scoping · Fixed Cost After Discovery
Investment and timeline determined after discovery based on scope complexity. You'll receive a detailed fixed-cost proposal and delivery schedule before proceeding.
Enterprise-grade AI features that deliver immediate operational and financial impact.
IoT and digital twin integration to monitor critical assets, predict failures, and prevent costly downtime in asset-heavy industries.
ML-driven demand forecasting merged with inventory management to prevent stockouts and align production planning with market fluctuations.
NLP + RPA to capture and verify invoices and routine paperwork, cutting manual entry errors and shortening payment cycles.
ML-powered spend management that compares projections vs actuals to generate precise cash forecasts and optimize working capital.
Real-time monitoring of ERP and process data to flag fraud, compliance issues, and KPI deviations early, reducing financial risk.
AI-driven fulfillment optimization, disruption monitoring, and unified inventory/order data (e.g., IBM Sterling-style systems).
Recommendation engines that surface supplier options meeting budget, quality, and sustainability constraints (SAP Ariba-style guided buying).
NLP + generative AI integrated into CRM to resolve common issues, draft responses, and prepare account briefings automatically.
AI-powered personalized learning, automated HR self-service, and intelligent candidate sourcing matching job descriptions at scale.
Analysis of ERP logs to discover bottlenecks and recommend more efficient or sustainable workflows across operations.
On-demand management and operational reports generated from ERP data, with natural language summaries and insights.
ERP-context-driven emails, technical docs, and code snippets, plus automated summarization of legal, compliance, and internal documents.
We're not a design studio or a marketing agency experimenting with AI.
We're senior engineers and technical founders who've built and maintained production systems—where uptime, cost, and maintainability actually matter.
No sales deck. No pressure. Determine if your AI feature can ship in weeks.
If this isn't the right approach for you, we'll say so—and point you in a better direction.
Limited availability to ensure hands-on delivery.
Book Your Technical Feasibility Call