Our Services
AI that runs on your equipment, automation that works, and cloud experience that stops you from overspending
Automation Capabilities Across the Stack
Flexible services for data, apps, people, and policies. Deploy on your own hardware, in the cloud, or both — we build where it makes financial sense.
Process Orchestration
Coordinates multi-step processes so each piece happens in the right order, with the right approvals, every time.
Tech we use expand_more
Agents and Copilots
AI assistants that follow your business rules instead of making up their own. Backed by safety checks so they ask before doing anything risky.
Tech we use expand_more
Document Intelligence
Reads PDFs, scans, forms, and emails. Pulls out the data you need. Flags anything that should still see a human eye.
Tech we use expand_more
Integration and APIs
Connects systems that don't talk to each other yet, including older software without modern integration support.
Tech we use expand_more
Forms and Letters
Generates customer-facing documents (notices, letters, e-forms) accurately and at scale, with a record of every change.
Tech we use expand_more
App Factory and Web
Custom apps and intake portals built once, deployed anywhere — your hardware, the cloud, or both.
Tech we use expand_more
Testing and QA
Automated checks that catch problems before your users do, including the boring overnight ones nobody likes to run by hand.
Tech we use expand_more
AIOps and Observability
Watches your systems so your team doesn't have to. Sends alerts only when humans actually need to act.
Tech we use expand_more
Voice and Telephony
Phone-line automation that takes calls, answers questions, and hands off to a person when needed.
Tech we use expand_more
Compliance and Records
Retention, deletion, and audit trails done right — so auditors get answers without your team scrambling.
Tech we use expand_more
Platform Engineering
The shared groundwork that lets your team ship faster: same reliable setup every time, fewer surprises.
Tech we use expand_more
RPA and UI Automation
Drives software the way a person would, clicking and typing through systems that have no built-in way to connect.
Tech we use expand_more
Four Core Service Offerings
30 years of building real systems. We know what works, what's hype, and where your money should actually go.
Intelligent Automation
Platforms that actually do the work — with humans in the loop, not out of the picture. We build automation that dramatically accelerates your employees, runs on your own equipment, and pays for itself in months instead of racking up cloud fees forever.
Capabilities
- RPA & UI Automation — Drives legacy software the way a person would, across systems with no built-in way to connect
- Workflow Orchestration — Coordinates multi-step processes so each piece happens in the right order, with the right approvals
- API Integration & Middleware — Connects your existing systems so they can talk to each other
- Business Process Management — End-to-end process automation with human oversight where it counts
- Human-in-the-Loop — Exception handling and approvals with clear audit trails
- Audit & Compliance — Full traceability and logging so auditors get answers without your team scrambling
build See the tools we work with (for the technically curious)
Typical Outcomes
Ideal For
Finance operations, HR onboarding, supply chain management, customer service automation, compliance reporting, invoice processing, data migration
Applied AI & Machine Learning
Small language models and vision models deployed locally on your hardware — not another chatbot wrapper calling a $1,000/month cloud API. We train custom AI on your data so it understands your business, runs at the edge, and keeps your information private.
Capabilities
- Document AI - OCR, form extraction, document classification
- Natural Language Processing - Text analysis, sentiment, summarization
- Predictive Analytics - Forecasting, anomaly detection
- Computer Vision - Image classification, object detection
- Local & Cloud AI — Smaller models that run on your own hardware, with larger cloud models available when the task genuinely needs extra power
- Recommendation Systems - Personalization engines
build See the toolkit (for the technically curious)
Use Cases
Cloud Modernization
With 5+ years of hands-on Azure experience, we help you right-size your cloud — move what should be local back to the edge, keep what needs scale or compliance in Azure, and eliminate waste everywhere else. We're not anti-cloud; we're anti-spending money where it doesn't need to be spent.
Services
- Cloud Migration — Moving your existing systems to the cloud with minimal disruption
- Application Packaging — Containerized deployment with reliable scaling
- On-Demand Computing — Auto-scaling services that grow with demand
- Automated Infrastructure — System setups you can reproduce and version
- Automated Testing & Deployment — Code changes tested and shipped reliably
- Cost Management — Budget controls and right-sized spending
Platforms We Support
Benefits
check_circle 40-60% reduction in infrastructure costs
check_circle 99.99% uptime guaranteed with automatic backup systems
check_circle Auto-scaling for traffic spikes
check_circle Disaster recovery & backup automation
Data Engineering & Analytics
Your data stays yours — pipelines that run where you need them, not where a vendor wants them. We build ingestion, transformation, and analytics infrastructure that can live on your servers, in the cloud, or split across both. No lock-in, full ownership.
Services
- Data Pipeline Development - ETL/ELT batch and streaming
- Data Warehouse Design - Snowflake, BigQuery, Redshift
- Real-time Streaming - Kafka, Kinesis, Pub/Sub
- Business Intelligence - Power BI, Tableau, Metabase
- Data Governance & Quality - Lineage, validation, masking
- Master Data Management - Single source of truth
Deliverables
build See the toolkit (for the technically curious)
Compare Our Services
See which service offering best fits your project needs
| Feature |
Intelligent Automation
Process Automation
|
Applied AI & ML
AI Solutions
|
Cloud Modernization
Infrastructure
|
Data Engineering
Data & Analytics
|
|---|---|---|---|---|
| Timeline & Investment | ||||
| Typical Timeline | 4-12 weeks | 6-16 weeks | 8-20 weeks | 6-14 weeks |
| Starting Investment | $10K - $50K | $25K - $75K | $30K - $100K | $20K - $60K |
| ROI Timeframe | 3-6 months | 6-12 months | 12-24 months | 6-12 months |
| Core Capabilities | ||||
| RPA & Workflow Automation | checkIncluded | ~Partial | closeNot included | ~Partial |
| Document AI & OCR | ~Partial | checkIncluded | closeNot included | closeNot included |
| Large Language Models (GPT-4, Claude) | ~Partial | checkIncluded | closeNot included | closeNot included |
| Predictive Analytics & ML Models | closeNot included | checkIncluded | closeNot included | ~Partial |
| Cloud Migration & Optimization | closeNot included | ~Partial | checkIncluded | ~Partial |
| Kubernetes & Containerization | closeNot included | closeNot included | checkIncluded | closeNot included |
| Data Pipelines (ETL/ELT) | ~Partial | ~Partial | closeNot included | checkIncluded |
| Data Warehousing (Snowflake, BigQuery) | closeNot included | closeNot included | ~Partial | checkIncluded |
| Business Intelligence Dashboards | ~Partial | ~Partial | closeNot included | checkIncluded |
| Ideal Use Cases | ||||
| Best For | Repetitive manual tasks, invoice processing, data entry | Document extraction, chatbots, content generation | Legacy modernization, scalability, cost optimization | Reporting, dashboards, data-driven decisions |
| Support & Deliverables | ||||
| Full Source Code | checkIncluded | checkIncluded | checkIncluded | checkIncluded |
| Documentation & Knowledge Transfer | checkIncluded | checkIncluded | checkIncluded | checkIncluded |
| Ongoing Support (Optional) | checkIncluded | checkIncluded | checkIncluded | checkIncluded |
| Start a Conversation arrow_forward | Start a Conversation arrow_forward | Start a Conversation arrow_forward | Start a Conversation arrow_forward | |
Deployment Options
On your own hardware, private cloud, public cloud, a mix, or a local mini appliance. Same visibility and controls across every option.
Capability Coverage
Radar updates to visualize fit for orchestration, AI, data, security, and ops.
Solution Blueprints
Reference patterns to cut risk and time to value.
Document to System
- Ingress: SFTP, email, inbox API, scanners
- AI: classify -> extract -> validate -> enrich
- Human review UI with confidence thresholds
- Downstream: ERP or CRM, data lake, queue
Spend Guardrails
- Budget policy as code with automated remediation
- Idle resource detection and rightsizing
- Chargeback dashboards with tags
Ticket Triage and Agent
- LLM tagging and routing
- Self-serve how-to guides and approved actions
- Time to resolution KPIs and alerts
Retention and DLP
- Data classification at ingest
- Policy engines for PII and secrets
- Proof of deletion logs
Web Design, Hosting, and Local Cloud
Modern sites, custom apps, and hosting choices sized to the job.
Custom Web Design
Pages, landing sites, and portals. Fast, accessible, and SEO ready.
Tech we use expand_more
Hosting Options
Public cloud, private tenancy, or a local mini cloud appliance.
Tech we use expand_more
Small Project Quickstart
Scoped builds and micro tools. Fixed price options available.
Tech we use expand_more
Industries We Empower
We solve process heavy challenges across sectors.
Finance and Insurance
Compliance checks, claims, onboarding with accuracy and speed.
Professional Services
Document review, case management, and client intake automation.
Logistics and Supply Chain
Inventory, reconciliation, and tracking with real time data.
Public Sector
Document processing, service delivery, and reporting improvements.
Why Partner with MIA
30 Years of Fundamentals
Using computers since the 90s. Full stack understanding from bare metal to cloud — we know what's solid engineering and what's just hype.
Local-First, Cloud When It Makes Sense
A $5,000 server can replace $10,000/month in cloud AI fees — so we start there. And when Azure is the right call — for compliance, global scale, or disaster recovery — we build that too. 5+ years of cloud experience means we know the difference.
Human-in-the-Loop, Always
We accelerate your employees dramatically — not replace them. Your team stays in control, with AI handling the heavy lifting.
Frequently Asked Questions
-
help_outlineWhat's the difference between automation and AI?
Automation handles repetitive, rule-based tasks (moving data, triggering workflows, processing forms). AI adds intelligence — understanding documents, making predictions, answering questions. We often combine both: AI extracts data, automation acts on it.
-
help_outlineDo I need cloud infrastructure for this?
Not necessarily. We default to local-first: models and automations running on your hardware. Azure cloud is available when it makes sense (global scale, compliance, disaster recovery), but we never push cloud where it wastes money.
-
help_outlineHow long does a typical project take?
Discovery takes 1-2 weeks. An MVP pilot usually ships in 4-6 weeks. Full production rollout depends on scope, but we measure ROI from the pilot stage so you see value early.
-
help_outlineWhat if I already have some automation in place?
Great. We audit what you have, identify gaps and overlaps, and build on your existing investment. We don't rip and replace — we extend and optimize.
-
help_outlineDo you replace employees with automation?
No. We build human-in-the-loop platforms that dramatically accelerate your team. AI handles the repetitive work, your people handle judgment calls and exceptions.
Ready to Right-Size Your AI and Start Owning the Results
Tell us what's eating your team's time. We'll show you what belongs local, what belongs in the cloud, and what's just wasting money — then build a working prototype in four weeks.
Let's Break It DownWhat we have actually built
The projections elsewhere on this site are modelled. These are counts from our own codebases — 120 projects and 8,311,545 lines of engineering, measured rather than described. Every one is code this team has written.
Tools your staff actually open
The desktop or browser application the work happens in
Native desktop software for people who will never open a terminal, and web front ends where the work is shared
Systems integration
Connecting systems that were never designed to talk
REST and async services, typed contracts, retries and back-off around anything that can fail
Running AI on your own hardware
Replacing per-seat AI subscriptions with equipment you own
Quantisation, VRAM budgeting and precision control, so a model fits the hardware you already have instead of the hardware a vendor would sell you
Predictive models
Spotting the failure or the trend before it costs you
Models trained on your own history, scoped to where you actually have enough data for the answer to mean anything
Dashboards and reporting
The recurring report your team currently builds by hand
Data joined from the systems that already hold it, rendered as something a manager can plan with rather than a spreadsheet somebody maintains
Documents into data
Invoices, forms and reports read once, correctly, into fields you can query
Layout-aware extraction with a strict output schema, so a wrong read is a validation failure rather than a silent bad record
Speech and recorded audio
Turning calls, dictation and meetings into structured records
Transcription, speaker separation and voice capture, running locally where the recording must not leave the building
Automated checking
Proving the automation still works, every time it changes
Browser-driven end-to-end runs and unit suites, so a regression is caught before it reaches the people relying on it
Assistants that follow your rules
AI that works inside your process instead of around it
Retrieval over your own documents, tool use behind policy checks, and a human approval step wherever the action matters
And what happens when it breaks
The question that matters after the demo. These are operational practices counted across the same codebases.
- Dependency isolation 52 projects
every deployment pinned and reproducible - Timeout budgets 52 projects
nothing waits forever on something that has stopped answering - Worker orchestration 28 projects
work spread across processes and machines, and recovered when one dies - Health / heartbeat 18 projects
services that report their own state instead of failing silently - VRAM budgeting 16 projects
models sized to the hardware rather than the other way round - Quantisation 15 projects
the compression that decides whether local AI is affordable