What we deploy.
What it changes.
Five enterprise AI transformation programs — each a 12-week engagement with a defined investment, measurable ROI target, and ongoing managed operations. Every program below is a complete business transformation, not a technology project.
AI Recruitment Transformation
From 5 manual recruiters to an autonomous talent pipeline
- Manual CV screening taking 2–3 days per role
- Candidates waiting weeks for responses
- Inconsistent scoring across hiring managers
- 500+ CVs screened and ranked automatically
- Candidates receive responses within 24 hours
- Standardised scoring with full audit trail
AI Sales & Revenue Operations Transformation
An autonomous outbound engine that never stops generating pipeline
- SDRs spending 60–70% of time on research and admin
- Inconsistent follow-up and personalisation at scale
- CRM data stale and manually maintained
- AI researches prospects and sends hyper-personalised sequences 24/7
- CRM auto-populated from every interaction
- Pipeline 3x coverage without expanding the team
AI Customer Operations Transformation
Resolve 80% of support tickets before a human sees them
- Support team overwhelmed with repetitive tier-1 queries
- Average response time of 4–24 hours
- No 24/7 coverage without expensive staffing
- 80%+ tickets resolved autonomously, instantly
- 24/7 support coverage at no additional staffing cost
- Human team focused entirely on complex, high-value interactions
AI Knowledge & Intelligence Transformation
Your entire institutional knowledge, instantly queryable by anyone
- Teams spending 5+ hours/week searching for internal information
- Critical knowledge locked in individuals — single points of failure
- New employees taking 3–6 months to become productive
- Any question answered from your knowledge base in under 30 seconds
- New employees productive within 2–4 weeks
- Zero knowledge loss from staff turnover
AI Operations & Monitoring Transformation
Real-time operational intelligence with autonomous incident response
- Operations teams manually monitoring dashboards and spreadsheets
- Issues discovered hours or days after they occur
- Root cause analysis requires multiple people and multiple hours
- 100+ operational signals monitored simultaneously, 24/7
- Anomalies detected within 15 minutes of occurrence
- Root cause identified automatically — remediation executed without human intervention
We build AI systems on infrastructure we've actually operated
Most AI agencies know prompts. We know Kubernetes, cloud infrastructure, CI/CD, and production operations. These are real engineering builds — evidence of the infrastructure depth that separates NexForge from consultancies that only know LangChain.
Zero-Downtime EKS Migration
Self-managed K8s on EC2 → fully managed EKS, across a new AWS account. 2TB of S3 data migrated with rclone (32 parallel streams, MD5 checksum verification). 12 services migrated in dependency order. Zero user-facing downtime using weighted Route 53 DNS cutover (10% → 50% → 100% over 48 hours).
- 2TB transferred with zero data loss
- Deploy time: 25 minutes → 4 minutes (GitHub Actions → EKS)
- Infrastructure cost reduced ~20% via managed nodegroup right-sizing
CI/CD Automation Platform
Replaced a manual 8-person deployment process — SSH into servers, Docker push by hand, manual service restarts — with a fully automated GitHub Actions pipeline. Docker image caching, ECR publishing, Kubernetes rolling deployments, Slack notifications, and automatic rollback on failed health checks.
- Deployment time: 25 minutes → under 4 minutes
- Any engineer deploys independently and safely
- Auto-rollback triggers within 60 seconds of health check failure
ML Kubernetes Infrastructure
GPU-enabled Kubernetes cluster for an ML platform running heavy training and inference workloads. Node pools with GPU scheduling, resource quotas, autoscaling policies, persistent volume management for model artefacts, and a fully automated MLOps pipeline from training job submission to model serving.
- Training jobs scheduled automatically on GPU node pools
- Model serving latency under 100ms at production load
- Full MLOps pipeline: train → evaluate → deploy → monitor
Ready to start your transformation?
Every engagement starts with a 30-minute discovery call. We assess your current state and build a custom program proposal — at no cost.
Start Your Assessment