The 4-month enterprise AI framework.
A practical enterprise AI strategy guide for teams that want working systems, not pilots. It's the same framework we use to ship production AI in 4 to 5 months.
What you get
A production system, not a pilot.
Timeline
A 4–5 month delivery plan
Case studies
Real ROI, 70%–36000%+
Checklist
Pre-project readiness
The 4-month framework, free. Built from 50+ real enterprise engagements: the decisions, phases, and pitfalls that decide whether AI ships.
Framework in action.
Field operations running on real-time intelligence.
UTILITIES · FIELD OPERATIONS
Four phases,one working system
No 18-month transformation. Each phase produces something real, and by the end you own a production system with measurable ROI.
Phase 1 · Understand & Assess
Gather data, pinpoint needs, define success metrics.
Phase 2 · Design & Conceptualize
Sketch solutions, create mockups, validate approach.
Phase 3 · Execute & Refine
Develop features, optimize functionality, iterate fast.
Phase 4 · Deliver & Support
Deploy product, provide maintenance, ensure success.
What you own at the end
Every engagement hands over a complete, documented system with no vendor lock-in, ever.
What's inside the framework
The free PDF is the same playbook our founders use on every project. No fluff; every section maps to a real decision.
From data auditto production in 4–5 months
The same cadence on every project: understand, design, build for production, then deliver and support, with weekly demos throughout.
Understand & Assess
Gather data, pinpoint needs, define success metrics.
Design & Conceptualize
Sketch solutions, create mockups, validate approach.
Execute & Refine
Develop features, optimize functionality, iterate fast.
Deliver & Support
Deploy product, provide maintenance, ensure success.
Questions before you start
An AI development company designs, builds, and deploys AI systems on your data and infrastructure. At EdgeFirm that covers four practice areas:
- Custom LLM applications: assistants and RAG systems grounded in your documents and data
- Intelligent process automation: customer service, reporting, and document workflows
- Decision intelligence: analytics your team can query in plain language
- AI agents: systems that plan, use tools, and act across your platforms
The difference from a consultancy is that we write and ship the code ourselves, and you own all of it at the end of the engagement.
Three reasons:
- We're technical founders, not a sales team passing requirements to developers. No communication overhead.
- We build for production from day one, not endless pilots. Your MVP is scalable code, not a prototype.
- We use proven frameworks (LangChain, OpenAI, AWS) instead of building everything custom. We innovate on your business logic, not infrastructure.
Most agencies pad timelines to justify higher fees. We move fast because we can, and because waiting 18 months for AI is how you lose to competitors.
We break it into phases. Example: Instead of an 18-month "AI transformation," we deliver:
- Months 1-4: Automate your #1 pain point, measure ROI
- Months 5-8: Scale to next 3 use cases based on learnings
- Months 9-12: Full enterprise deployment
You get value every 4 months instead of nothing for 18 months. And if phase 1 doesn't deliver ROI, you can stop before phase 2. That's the honest approach.
We integrate with what you have.
- Your team uses Salesforce, SAP, and custom internal tools? Perfect. We'll connect to them via APIs.
- You have data in 5 different databases? We'll unify it without migrating everything.
- You're on AWS but considering Azure? We're cloud-agnostic.
We only recommend "rip and replace" when your existing system is actively blocking progress. And we'll prove it with data before suggesting it.
You own everything: code, data, infrastructure, IP. Three options for ongoing support:
- Full handoff: We train your team, document everything, you manage it internally. (30 days post-launch support included)
- Retainer support: We monitor performance, add features, handle emergencies. (15-20% of project cost/year)
- Full managed service: We run it as your outsourced AI team. (Custom pricing)
Most clients start with option 1 and move to option 2 after 6-12 months when they want to add features.
Security and compliance are built in from week one, not added later. Our standard practices:
- SOC 2 Type II compliance framework
- GDPR, CCPA, HIPAA where applicable
- End-to-end encryption for data in transit and at rest
- Role-based access control (RBAC)
- Comprehensive audit logging
- Regular security audits and penetration testing
For regulated industries (finance, healthcare), we work with your compliance team from day one to ensure we meet your specific requirements. We also sign NDAs and BAAs as standard practice.
Our projects typically range from $50K to $200K depending on complexity. Factors that affect pricing:
- Number of systems to integrate
- Data volume and complexity
- Compliance requirements
- Team training needs
- Ongoing support model
We provide detailed ROI projections during the discovery phase. Most clients see payback in 12-18 months. Unlike hourly billing, we quote fixed-price for defined scope. You know the total investment upfront.
Yes. Our distributed team provides coverage across all major timezones.
- Headquarters: New York, USA (EST/EDT)
- Engineering Hub: Karachi, Pakistan (PKT)
- US Support: Available 9am-6pm EST
- UK/EU: Overlap during business hours
- UAE/Australia: Morning coverage via Pakistan team
For critical projects, we assign a dedicated engineer in your timezone for real-time collaboration. All communication happens via Slack/Teams (your choice), with daily standups and weekly stakeholder reviews.
Ship AI in months, not years.
Book a 30-minute strategy call with the founders who will write your code.
