NexForge
NexForge
Proven Results

Enterprise AI transformations that delivered

Factual client engagements plus transparent delivery blueprints across AI systems, software delivery, cloud, and platform engineering.

RecruitmentAI Recruiter

How TalentFirst Agency Doubled Capacity With AI Recruiter

A 15-person recruitment agency eliminated manual CV screening and doubled their client-handling capacity without adding headcount.

500+
Applications processed daily
9 days
Time-to-fill (average)
8 weeks engagementRead case study →
LogisticsAI Operations Center

FastTrack Logistics Eliminated 40hrs/Week of Manual Tracking

A mid-size logistics firm with 500 daily shipments eliminated manual tracking entirely and reduced customer complaints by 70%.

2hrs
Manual tracking hours per week
4 hrs
Customer inquiry resolution time
10 weeks engagementRead case study →
SaaSAI Customer Support Agent

GrowthStack SaaS Handles 10,000 Support Tickets Per Month With AI

A B2B SaaS company scaled from 2,000 to 10,000 monthly active users without growing their support team.

8,200
Monthly tickets handled
82%
Auto-resolution rate
6 weeks engagementRead case study →
Private EquityAI Executive Dashboard + AI Compliance Assistant

Meridian Capital Gets Portfolio-Wide AI Intelligence

A private equity firm with 12 portfolio companies achieved real-time cross-portfolio visibility and continuous compliance monitoring.

4 hours
Board report preparation time
Real-time
Portfolio data freshness
12 weeks engagementRead case study →
HealthcareAI Document Intelligence + AI Compliance Assistant

MedGroup Clinic Cuts Admin Overhead 50% With AI Document Intelligence

A private healthcare network processing 3,000 patient records monthly achieved 99.2% extraction accuracy and HIPAA compliance automation.

12 hrs/week
Document processing time
99.2% (AI)
Data extraction accuracy
10 weeks engagementRead case study →
E-CommerceAI Customer Support Agent + AI CRM Automation

Lumino Beauty Scales to 50K Monthly Orders With AI Support

A DTC beauty brand handling 50,000 monthly orders replaced their 8-person tier-1 support team while improving CSAT from 3.8 to 4.7.

87%
Tier-1 tickets resolved automatically
4.7/5
Customer satisfaction (CSAT)
6 weeks engagementRead case study →
Technology / SaaSDevOps Platform & CI/CD Automation

How DevFlow Agency Cut Deployment Failures by 85% and Halved Release Cycle Time

A 35-person product agency was losing 2 days per sprint to failed deployments, rollback emergencies, and environment drift. We rebuilt their delivery platform from scratch.

< 0.4 per week
Deployment failures
< 3 minutes
Rollback time
10 weeks engagementRead case study →
Transportation / MobilityCloud Infrastructure & Kubernetes Migration

How UrbanMove Migrated to Kubernetes and Cut Cloud Infrastructure Costs by 43%

A mobility-tech startup was paying £28,000 per month for infrastructure that could not scale reliably. We migrated them to Kubernetes and rebuilt their cloud foundations while cutting costs by 43%.

£16,000
Monthly cloud spend
3x headroom
Peak traffic capacity
12 weeks engagementRead case study →
SaaSDevOps Automation & CI/CDBlueprint

DevOps & CI/CD Modernization Blueprint for a Growth SaaS Platform

A representative delivery blueprint showing how a growth-stage SaaS team can move from fragile weekly releases to governed daily deployments with stronger reliability and observability.

Daily governed deployments
Deployment frequency
Same-day release path
Lead time for change
8 weeks engagementRead blueprint →

DevOps & Platform Delivery Blueprints

Representative architecture blueprints used during strategy and planning for DevOps, cloud, platform engineering, and managed operations. These are blueprint-style examples, not claimed customer delivery records.

DevOps Delivery

DevOps & CI/CD Modernization Blueprint

Business Problem

Manual releases, inconsistent environments, and slow incident recovery create delivery drag for product teams.

Solution Architecture

Pipeline standardization, infrastructure as code, deployment automation, release guardrails, and observability wired into one delivery platform.

Expected Outcomes

Higher deployment frequency, lower lead time for change, faster recovery, and fewer release-related incidents.

Implementation Roadmap

Delivery audit, pipeline baseline, staged service migration, and production hardening across release workflows.

Read full blueprint
Cloud Foundations

Cloud Infrastructure Modernization Blueprint

Business Problem

Legacy hosting, weak resilience, and uncontrolled cloud spend make scaling expensive and risky.

Solution Architecture

Landing zones, multi-environment governance, security controls, disaster recovery, and FinOps reporting designed into the operating baseline.

Expected Outcomes

Stronger uptime, safer change management, lower waste, and clearer accountability for infrastructure performance.

Implementation Roadmap

Infrastructure audit, landing-zone rollout, workload migration planning, and resilience plus cost-control optimization.

Explore cloud modernization
Platform Engineering

Internal Platform Engineering Blueprint

Business Problem

Each product squad builds its own tooling, deployment patterns, and AI workflow plumbing, which slows every future release.

Solution Architecture

A reusable internal platform with model access, retrieval services, deployment templates, developer guardrails, and shared evaluation tooling.

Expected Outcomes

Faster team onboarding, less duplicated engineering effort, stronger governance, and better developer experience across product lines.

Implementation Roadmap

Shared capability mapping, platform scope definition, core service rollout, and phased adoption by product teams.

Explore platform engineering
Managed Operations

Managed Operations & Observability Blueprint

Business Problem

Once multiple AI and software workflows are live, quality drift, cost opacity, and fragmented alerting undermine trust.

Solution Architecture

Unified observability, incident routing, workflow quality reporting, runbooks, and managed operational reviews across production systems.

Expected Outcomes

Clear production visibility, faster issue isolation, tighter control over spend, and consistent operating discipline.

Implementation Roadmap

Telemetry baseline, service-level instrumentation, runbook creation, and recurring optimization with shared dashboards.

Explore managed operations

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