AI Expertise That Moves the Needle

Push the boundaries of what your tech team can achieve

Practical AI, Proven Results

Grow fast, stay safe. 25Friday brings battle-tested AI implementation expertise to your doorstep. We provide the ecosystem for intelligent expansion optimizing your workflows with AI while securing your future through robust processes and architecture.

AI Services

Empowering Your Team with AI

We help tech companies leverage AI to accelerate development, enhance productivity, and maintain compliance with evolving regulations.

Integrated AI Acceleration Program

Empower your development teams with cutting-edge AI tools and productivity training, while unlocking new SaaS value through strategic workshops and year-round expert webinars.

AI Audit

An in-depth evaluation of your systems, data quality, and workflows to ensure you're truly ready for AI. We assess your current infrastructure, identify gaps, and provide actionable recommendations for successful AI adoption.

AI Governance & Compliance

We offer 'Safe AI' roadmaps that ensure compliance with evolving regulations—including frameworks like the EU AI Act and US AI guidelines. Build trust and mitigate risks in your AI implementations.

AI Proven Results

Real Impact. Real Results.

Numbers don't lie. See how 25Friday's AI expertise has transformed our clients development workflows and accelerated their growth.

Teams Trained

Tech teams successfully upskilled in AI-powered development

LOWER ONBOARDING COST

AI-assisted context loading allows new developers to be productive in few days, not weeks

ENGINEERING VELOCITY

Unlock a proven 10%-30% boost in development speed with AI-driven workflows

Case Studies

See how our tech solutions transform businesses with real results and impact

CX Workflow Automation

84%

Ticket Deflection

HelloPrint Achieves almost 90% ticket deflection

25Friday architected HelloPrint's scalable real-time messaging platform using TypeScript and WebSockets, integrating a custom AI agent that autonomously resolves customer queries to prevent unnecessary tickets from cluttering HubSpot.

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Compliance & Governance

50%

New Client Onboarding

ComplianceWise improves the new client onboarding process with a custom AI solution

25Friday helped ComplianceWise turn a manual compliance bottleneck into a scalable competitive advantage, orchestrating a seamless 'Grub AI' integration that empowers accountants to slash complex Anti-Money Laundering (AML) onboarding workflows by over 50%.

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Training Paths

Specialized AI learning journeys tailored to your team's roles

Developer Path

Master AI integration, prompt engineering, and agent development to build intelligent applications.

Prompt Engineering Fundamentals

Objectives: Learn structured prompting: defining roles, context, format, and guardrails. Focus on simple use cases like generating documentation and summarizing meeting transcripts.

Outcome: Developers can use LLMs to generate high-quality commit messages and function descriptions.

Building and Managing AI Agents

Objectives: Hands-on workshop on building simple multi-step, goal-oriented AI agents that can interact with external tools (function calling).

Outcome: Small team challenge: Build an internal AI agent to automate a simple, repetitive internal task (e.g., project setup).

LLM Integration & Best Practices

Objectives: Learn API integration patterns, context management, token optimization, and error handling strategies for production-ready AI applications.

Outcome: Developers implement a complete AI-powered feature with proper error handling and token cost optimization.

QA Path

Leverage AI for intelligent testing, automated bug detection, and quality metrics analysis.

AI-Powered Test Automation

Objectives: Explore how to use AI to generate test cases, identify edge cases, and automate regression testing with machine learning models.

Outcome: QA teams can implement AI-assisted test generation that reduces manual test creation time by 50%.

Intelligent Bug Detection & Analysis

Objectives: Learn to use AI models for anomaly detection, log analysis, and predictive bug identification before they reach production.

Outcome: Implement an AI-powered monitoring system that proactively identifies potential issues based on patterns.

AI-Enhanced Quality Metrics

Objectives: Master AI tools for code quality analysis, test coverage optimization, and automated code review suggestions.

Outcome: Create a comprehensive AI-driven quality dashboard that provides actionable insights for continuous improvement.

DevOps Path

Optimize deployment processes with AI-driven automation and infrastructure management.

Powered IaC & Automation

Objectives: Utilize LLMs to generate, validate, and troubleshoot Infrastructure as Code (IaC) templates (Terraform, CloudFormation). Focus on creating automation scripts for deployment environments.

Outcome: Create a standardized, AI-generated deployment script for a simple new service on a target cloud platform.

MLOps Pipeline for LLMs

Objectives: Design and implement an automated CI/CD pipeline for RAG-based applications, including containerization (Docker/Kubernetes) and secure secret management for API keys.

Outcome: Deploy a RAG prototype using the newly built CI/CD pipeline.

FinOps, Security, and Observability

Objectives: Deep dive into cost monitoring for LLM usage (FinOps). Implement logging/tracing for AI applications and apply security best practices (e.g., prompt injection mitigation, API key rotation).

Outcome: Establish real-time cost dashboard and alert system for LLM API consumption.

AI Webinars

Stay ahead with our AI Knowledge Series, designed to help Tech Teams and C-Level leaders learn directly from industry experts

Past Webinars

November 2024

Moving Faster with AI - Key Takeaways for Tech Leaders

In this session, our Solutions Architect explores the trajectory of Generative AI, breaking down the shift from standard LLMs to the emerging trend of Agentic AI and RAG (Retrieval-Augmented Generation). The talk analyzes AI's role across the entire Software Development Life Cycle (SDLC)—positioning AI as a Savant Forever Junior that boosts productivity by 2-5x on new projects but requires strict human oversight to avoid security pitfalls like 'Shadow AI' and licensing infringements. The session concludes with a forecast for 2026, predicting a shift away from exponential model growth toward highly specialized, data-driven tools.

Watch Now

Upcoming Webinars

Coming Soon

Deep Dive: Building Production-Ready AI Agents

Join our expert-led session on designing, building, and deploying AI agents that deliver real business value. We'll cover architecture patterns, tool integration, testing strategies, and best practices for production deployments.