AI Solutions & Implementation
AI-powered systems that automate operational workflows and decision processes. We design and build intelligent automation systems that reduce manual work, accelerate processes, and unlock insights from operational data.
AI-powered systems that automate operational workflows and decision processes. We design and build intelligent automation systems that reduce manual work, accelerate processes, and unlock insights from operational data.
We design and build intelligent automation systems that reduce manual work, accelerate processes, and unlock insights from operational data. Examples include document processing pipelines, AI copilots, automated reporting, and intelligent workflow systems.
Every project starts with a clear business case. We identify the highest-impact workflows and build systems your team can use from day one.
200+ platforms shipped across industries since 2006.
Every engagement led by experienced specialists who have shipped production systems at scale.
We measure success in business results, not lines of code.
Chicago office ensures real overlap with US teams all day.
Extract and route data from unstructured documents with 90–97% accuracy, reducing manual handling significantly.
Replace email chains and manual steps with intelligent automated pipelines connected to your existing tools.
Internal assistants trained on your own data — policies, documentation, and knowledge — for instant answers.
Eliminate manual report building. Data from multiple systems, formatted and delivered automatically on schedule.
Connect CRMs, ERPs, databases, and third-party APIs into a unified, reliable operational flow.
We audit your operations to find the highest-ROI automation opportunities before writing a line of code.
A freight logistics company was managing dispatch across 12 routes using spreadsheets and WhatsApp groups — causing delays, errors, and two hours of daily manual work per coordinator.
We built an intelligent workflow system that connected directly to their TMS, automatically routing loads, generating confirmations, and flagging exceptions.
70% reduction in processing time. Near-zero manual errors. ROI visible within the first month of go-live.
A clear, structured process — you always know what happens next.
Map workflows, quantify manual effort costs, and define success criteria — clear business case before any build.
Define exactly what gets automated, how it connects to your systems, and the acceptance criteria.
Short 2-week sprints. Working automation visible regularly — not just at the end.
Outputs reviewed by your team before going live — fastest way to tune accuracy.
Full documentation, training, and knowledge transfer so your team owns the system.
We've delivered this type of work across a range of sectors — bringing domain context, not just technical execution.
Dispatch automation, load routing, and TMS integrations for freight companies.
Contract review pipelines and document classification for legal teams.
Patient intake automation, clinical document processing, and reporting systems.
Automated reconciliation, regulatory reporting, and data extraction pipelines.
QA pipeline automation, production reporting, and supplier data integration.
Most AI automation projects deliver a working pilot in 4 to 8 weeks. Document processing, AI copilots, and workflow routing systems usually move from kickoff to production in 8 to 16 weeks. We scope each engagement around your actual data, integrations, and decision points — not a generic template.
A typical AI automation engagement ranges from US$25,000 for a focused workflow automation to US$120,000+ for a multi-process intelligent platform. Cost depends on the number of processes you want to automate, integration complexity, and whether models need to be custom-trained. Use our estimator at zansys.com/estimate for a working range.
In 2026, AI reliably automates document extraction (invoices, contracts, forms), classification and routing, summarisation, drafting first-pass content, structured data lookups, and decision support. AI does not yet reliably replace high-stakes judgment, novel reasoning, or end-to-end customer relationships. We help you identify where AI genuinely creates leverage versus where conventional automation is the right answer.
Both, depending on the task. For most business automation we use foundation models (Claude, GPT-4, Gemini) with retrieval-augmented generation, fine-tuning, or prompt engineering. For specialised, high-volume, or sensitive use cases, we build smaller custom models that run cheaper and on your own infrastructure. The right choice is whichever delivers the accuracy you need at the cost you can sustain.
We support on-premise, private cloud, and major cloud providers (AWS, Azure, GCP). For sensitive data we deploy models inside your VPC with no data leaving your environment. We sign NDAs, support SOC 2-aligned engagements, and document data flow for compliance review.
Week 1 to 2: discovery — we map your processes, data, and constraints. Week 3 to 6: pilot build with a single high-value workflow. Week 7 onwards: production rollout, integration with your systems, and team training. We work in 1 to 2 week sprints with weekly demos so you see progress, not slideware.
Book a free 30-minute consultation — no sales pitch, just an honest conversation.
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