How to Add AI to Your Engineering Projects

You don’t need to hire full time. You need impact. Fast.

The explosion of AI innovation has left many companies scrambling. Product owners, engineering leads, and CTOs all face the same problem: how do we integrate AI capabilities now without spending months recruiting, onboarding, and training?

At Oktana, we solve that with ready-to-deploy, AI-skilled engineering teams who start delivering in under two months.

Why Most Team Get Stuck Integrating AI (And Why You're Not Alone)

According to VentureBeat, more than 60% of companies are “urgently reconfiguring their teams” to deliver on AI objectives. But the real challenge isn’t just finding talent—it’s finding the right mix of AI, data, and integration skills that work inside your existing architecture.

Most companies face three blockers:

  • Long hiring cycles (3–6 months)

  • Uncertainty about what roles are actually needed for AI to cover

  • Lack of internal AI fluency to properly scope or manage

This delay costs opportunities. That’s why companies like CoverageIQ, Covenant House, and high-tech firms across the U.S. have turned to Oktana.

How We Add AI Skills to Your Team in 2 Weeks

We’ve optimized our delivery model to give companies on demand access to Salesforce, Snowflake, MuleSoft, and full-stack AI developers.

Our 5-Step Rapid Staffing Model:

Week 1: Discovery Call
We assess your tech stack, team capacity, and AI goals. This helps scope the right skill mix and define clear project outcomes.

Week 2: Team Design
We craft a custom team composition based on your integration needs—Salesforce + AI, MuleSoft + Python, or full-stack AI builds.

Weeks 3–4: Candidate Matching
We match candidates from our bench of 200+ AI-savvy nearshore/onshore developers and prepare a shortlist tailored to your environment.

Week 5: Interviews & Selection
You meet the candidates, confirm technical and cultural fit, and approve the team.

Week 6: Kickoff & Onboarding
We launch with structured onboarding, establish Scrum rituals, and begin sprint-based delivery.

add ai to your engineering project

AI Skillsets We Deliver (By Need)

Whether you’re optimizing Salesforce workflows or launching a full-scale data product, we’ve got the team.

Use Case

Skillsets

AI-Powered CRM

Salesforce Developers, AI model integration experts, Heroku engineers

Predictive Analytics

Snowflake architects, data engineers, Tableau visualization pros

Integration & Automation

MuleSoft-certified engineers, REST/API specialists

Custom AI App Dev

Python/Node.js/React devs, DevOps, QA automation

Team Augmentation

Full-stack developers, QAs, architects, scrum masters

Why Oktana?

  • Proven track record: 850+ successful projects, 950+ Salesforce certifications

  • Deep platform experience: Salesforce, MuleSoft, Snowflake, Heroku

  • Time zone aligned: Nearshore teams for seamless collaboration

  • T&M pricing model: Transparent, no overbilling, high ROI

  • Team flexibility: Start with 2 devs, scale to 10 as needed

Bonus: Our average customer relationship is 4–5 years. That means we don’t just place people—we build long-term tech partnerships.

Case Study: AI-Driven CRM Acceleration for a FinTech Platform

A FinTech firm needed to integrate predictive lead scoring into their CRM. They had the concept but no in-house AI expertise. Within 10 days, Oktana staffed:

  • 1 Python ML developer

  • 1 Salesforce engineer

  • 1 QA

The result?
They launched a working MVP in 5 weeks, reduced manual lead qualification by 60%, and scaled to full rollout in 3 months.

Start Building in 1 Month or Less

AI doesn’t wait. And now, you don’t have to either.

→ Get your custom AI team plan in 1 week
Book your free 30-minute consultation and let’s build.

You might also like

By continuing to use this site, you agree to our cookie policy and privacy policy.