decyfy

What We Do

Make AI useful to your business — not just interesting.

Many business owners know AI can help but don't know where to start, what information can safely be used, or which workflows are worth automating.

Assess Your AI Readiness

What’s Included

  • AI readiness assessment
  • Workflow and process analysis
  • AI use-case identification
  • Secure AI workflow design
  • Internal knowledge workflows
  • Prompt and instruction libraries
  • AI adoption roadmap
  • Human-in-the-loop workflow design

Deliverables

  • AI readiness assessment
  • Prioritised AI opportunity map
  • Corporate AI/prompt library
  • AI workflow designs
  • 90-day AI implementation roadmap

Potential technology includes Claude, Microsoft Azure AI, Microsoft 365 / Copilot, APIs, and other appropriate AI technologies — Decyfy does not rely exclusively on any one platform. We assess the appropriate data, security, privacy and deployment requirements before recommending an AI workflow.

Proof of Work

Workflow OptimisationLondon · Fintech

Eliminating "Release Anxiety" with Automated QA

The Problem

Every new feature deployment broke existing functionality. Manual regression testing consumed 5 days per sprint, creating a cycle of "hotfix" emergencies and eroding team confidence.

Outcome

90% of hotfix deployments eliminated. The team moved from reactive fire-fighting to confident, planned releases.

4 hrs (from 5 days)

Regression time

2×

Deployment frequency

$12k

Monthly savings

Workflow DiagnosisIllustrative Example

A growing company is losing time to the same problems every week.

The Problem

A 30-person company has sales information spread across spreadsheets, SOPs stored in different documents, founders answering repetitive questions, employees manually preparing reports, and no clear AI strategy.

Outcome

A clearer operating model, prioritised automation opportunities, and a practical roadmap — rather than another generic AI strategy document.

Workflow OptimisationUnited States · SaaS

Recovering 20% of Billable Hours Lost to Internal Friction

The Problem

A growth-stage SaaS team was losing 20% of billable hours to duplicate meetings, unclear tickets, and manual reporting fragmented across three separate tools.

Outcome

The founder stepped out of daily fire-fighting and redirected full focus to a Series B fundraise.

+25%

Team throughput

$1.5k

Monthly tool savings

0

New hires required