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Fusion Insight

Services

Practical AI & data work with clear deliverables

We focus on outcomes you can operate: clean pipelines, documented assumptions, and solutions designed for long-term maintenance.

AI Automation

Problem

Manual, repetitive workflows consume time and introduce inconsistency.

Solution

Automate tasks with reliable rules + AI where appropriate, with logging and human-in-the-loop checks.

Deliverables

  • Workflow mapping
  • Automation scripts/services
  • Audit-friendly logs
  • Operating documentation

Machine Learning Models

Problem

You need better predictions or smarter prioritization, but the model must be maintainable.

Solution

Build a model pipeline with evaluation, monitoring hooks, and clean integration into your product/ops tools.

Deliverables

  • Feature & label definition
  • Model training + evaluation
  • Inference integration
  • Monitoring plan

Data Dashboards & Analytics

Problem

KPIs are unclear, data is fragmented, and decision-making is slow.

Solution

Create a consistent metrics layer and dashboards tailored to your team’s workflow.

Deliverables

  • KPI definitions
  • Data transforms
  • Dashboards/reporting views
  • Data dictionary & assumptions

Engagement Process

Simple, transparent, and measurable

01

Discovery

Clarify goals, constraints, and data availability.

02

Proposal

Deliver scope, timeline, and acceptance criteria.

03

Build

Implement with iterative demos and feedback.

04

Deploy

Ship with runbooks and handover.

05

Support

Post-launch support and improvements.

FAQ

Common questions

How do you price projects?

Most engagements are fixed-scope with milestones. For ongoing work, we can propose a monthly retainer. We confirm scope and assumptions before quoting.

What information do you need to start?

A short problem statement, current workflow, sample data (or schema), and success criteria. We can sign an NDA if required.

How do you handle data confidentiality?

We follow least-privilege access, encrypted storage/transfer, and clear data retention rules. We can work within your environment when needed.

What’s a typical timeline?

Small automation or dashboard work can be delivered in 2–4 weeks; model projects vary depending on data readiness and validation needs.

Have a specific requirement or timeline?

Tell us your context and we’ll propose a practical next step.