Invonto AI

AI Strategy and Use-Case Discovery

Workshops identify high-ROI opportunities, risks, and success metrics. Roadmaps clarify data sources, privacy constraints, and buy-versus-build decisions. Stakeholder alignment reduces pilot drift, and phased milestones keep funding tied to measurable outcomes at each stage. Discovery also quantifies technical debt and integration constraints so timelines reflect reality and teams set expectations clearly. Clear exit criteria define when pilots graduate, ensuring lessons transfer into roadmaps and future budgets.

Custom Models and Applications

Design and train models for computer vision, NLP chatbots, forecasting, or recommendations. APIs, dashboards, or mobile apps deliver results where people work. Human-in-the-loop reviews improve accuracy on edge cases, and retraining plans address drift as behavior changes. Design emphasizes transparency with reason codes and audit fields so stakeholders can explain outcomes to regulators and partners. Reusable components accelerate follow-on use cases, turning one win into a repeatable, scalable capability.

Data Engineering and MLOps

Build pipelines for ingestion, labeling, and feature stores. Orchestrate training and deployment with monitoring for latency, drift, and cost. CI/CD for models standardizes rollouts and rollbacks, and alerts surface issues before they impact operations. Dashboards visualize model health and cost next to KPIs, making trade-offs explicit and preventing silent degradation. Shadow and canary releases reduce risk during upgrades, with rollbacks ready if metrics drift or dependencies change.

Systems Integration and Cloud

Connect AI to ERP, CRM, and data warehouses; enforce roles and audit logs. Choose cloud services that meet security and regional requirements. Reference architectures speed repeatable patterns for image, text, and tabular workloads across teams and vendors. Patterns cover streaming and batch processing, and network design accounts for latency budgets in real-time decisions. Infrastructure-as-code templates standardize environments, supporting audits and reproducibility across clouds and regions.

Security, Privacy, and Governance

Apply encryption, PII handling, and retention rules that match policy. Model cards, tests, and approvals record how models were built and evaluated. Bias and robustness checks inform risk reviews, while access controls protect data in regulated industries. Playbooks document acceptable use, incident response, and update cadence, giving operators clarity long after go-live. Third-party assessments can validate controls for sensitive workloads, satisfying procurement and risk requirements.