Forward Deployed AI Engineering

Our Services

We do not sell AI tools. We embed engineering teams inside your operations, find high-value problems, deploy working AI systems, prove measurable ROI and remain accountable for production outcomes.

The Difference

Embedded Engineering vs Ordinary AI Agency

Most AI companies build solutions and hand them over. We stay embedded, stay accountable and stay until the results show up in your numbers.

Ordinary AI Agency
Sells individual tools and solutions
Waits for client to define requirements
Builds mostly off-site
Ends at project delivery
Measures features delivered
Often delivers impressive demos
NewGenIT.ai FDE Model
Sells measurable operational outcomes
Discovers the real requirement on-site
Works alongside your operating team
Owns production adoption and results
Measures financial and operational impact
Delivers production systems that stick

Operational AI Discovery

Before we write a single line of code, we embed with your team to understand how work is actually done — not how management thinks it is done. We interview executives and frontline staff, observe real workflows, review the data landscape and map every exception and workaround. The result is a prioritised AI Opportunity & Deployment Map scored by financial impact, effort, time-to-value and data readiness.

Executive and frontline staff interviews
Live workflow observation and process mapping
Data source and integration inventory
Use-case scoring: impact, effort, risk, time-to-value
ROI baseline and cost/time measurement
POPIA and governance risk assessment
Prioritised deployment backlog — not a strategy report
Book an AI Discovery
FLAGSHIP OFFER

NewGenIT AI Impact Sprint

In five working days, our engineers work alongside your team using one real process and representative operational data. You participate actively throughout — this is not a demo we prepare privately. The sprint ends with a live working workflow, a before-and-after measurement and a fixed-price production proposal.

Day 1 — Target outcome, workflow map, success criteria, data selection
Day 2 — Data connection, integration build, logging and permissions
Day 3 — AI configuration, agent or workflow build, human approval layer
Day 4 — Edge case testing, security controls, user validation
Day 5 — Live demonstration with your team, ROI measurement, production roadmap
Client must provide: executive sponsor, process owner, real users and data access
Output: working prototype, ROI baseline, fixed production proposal
Book an AI Impact Sprint

Production AI Deployment

We build the production-grade system into your real operational environment — not a sandbox, not a pilot that never graduates. Architecture, security, integration, user interface, data pipelines, human approval workflows, audit logs, monitoring and failover. Every deployment includes defined business KPIs tracked from go-live and a POPIA-aligned governance record.

Production architecture and cloud deployment
Security, identity and role-based access controls
Integration with existing CRMs, ERPs and data sources
Human approval workflows and escalation paths
Audit logging, model versioning and rollback capability
POPIA-compliant governance record for every deployment
Business KPIs defined and measured from day one
Discuss Your Deployment

Managed AI Operations

Deploying AI is the beginning, not the end. Models drift, prompts degrade, integrations break and business rules change. Our Managed AI Operations retainer keeps your deployed AI performing, improving and accountable — with monthly ROI reporting so you always know what it is worth.

Model and workflow performance monitoring
Prompt maintenance and evaluation testing
Integration and API upkeep
Cost and usage monitoring with alerting
Security reviews and incident response
Monthly business KPI and ROI report
New use-case identification and backlog management
Discuss a Managed Retainer
Where We Deploy

Industry Solutions

We focus on industries where operational AI creates the highest measurable value. Each sector comes with reusable platforms, proven workflows and local South African compliance built in.

Automotive Dealerships

Increase service-booking conversion, automate customer routing across branches, fill workshop capacity and recover abandoned enquiries using WhatsApp-native AI.

Platform: Automotive Booking AI

Tender & Government

Accelerate tender qualification, generate compliance matrices, detect document gaps and draft responses — built for South African B-BBEE, CSD and CIDB requirements.

Platform: Tender Response SA

Insurance & Claims

Reduce claims-administration cost through AI-assisted triage, document validation, fraud signals and automated claimant communication — with human review at every critical decision.

Platform: AI Claims Automation

Property Management

Automate lead qualification, tenant onboarding, maintenance triage, viewing scheduling and property-owner reporting — reducing admin cost across your entire portfolio.

Platform: Premier Connect

Manufacturing & Distribution

Accelerate quote generation, supplier-document processing, quality incident analysis and customer-service automation — improving throughput without adding headcount.

Sector: In active deployment
Accountability

We Measure Outcomes, Not Outputs

NewGenIT.ai does not call a project successful because a system was deployed. We track four categories of real-world impact from day one.

Business
  • Revenue generated
  • Cost removed
  • Conversion rate
  • Capacity created
Operational
  • Cycle time reduction
  • Error rate
  • Completion rate
  • Manual interventions
AI Quality
  • Accuracy
  • Human acceptance rate
  • Tool-call success
  • Failure & escalation rate
Adoption
  • Active users
  • % transactions processed
  • Override rate
  • User satisfaction

Start with an Operational AI Discovery

In 1–2 weeks you will have a prioritised map of your highest-value AI opportunities, a baseline ROI estimate and a clear deployment roadmap — not a generic strategy presentation.

Book an AI Discovery Book an AI Impact Sprint