Too much email
Turn messages into structured work
Extract the important facts, classify the request, connect it to the right case and prepare the next action for a person to approve.
AI + software engineeringFrom opportunity to dependable product
Turn AI into software your business can actually rely on.
We help businesses work out where AI can genuinely save time, improve service or unlock something new — then design and build the software that makes it work in the real world.
- Professional software engineering
12 yrs
Professional software engineering
- Maintaining one complex production platform
5 yrs
Maintaining one complex production platform
- Senior engineer from scope to build
1
Senior engineer from scope to build
Where AI becomes useful
What could AI actually do for your business?
Most businesses do not need an AI strategy deck. They need to recognise the repetitive, information-heavy or slow parts of real work where AI can help — and know how to connect that capability to the software around it.
Long customer forms
Collect information naturally
Let customers explain what they need in their own words, ask only useful follow-up questions, then turn the conversation into clean structured data.
Information buried in files
Read, extract and flag exceptions
Pull useful fields from documents, show where each answer came from and route missing or uncertain information to a human.
Too much to monitor
Surface what needs attention now
Summarise operational state, explain what changed and prioritise exceptions without pretending AI should run the business unsupervised.
Repetitive communication
Draft with the right business context
Prepare customer or supplier communications using the facts already known by the system, while keeping approval with your team.
A process that used to be impractical
Unlock entirely new workflows
Modern AI can make previously manual or uneconomic products possible — when it is combined with conventional software, rules and integrations.
Sometimes the right answer is not AI.
A better workflow, integration or conventional software feature may solve the problem more reliably and cheaply. Our job is to find what works, not to force an AI component into it.
Working concept demos
Six demos. One connected operating story.
These are original browser-only concepts built with fictional data. Start with the whole customer-to-operations journey, or jump straight to the kind of AI integration you want to explore.
Interactive · synthetic data · no paid APIs
Interactive concept demo
See an AI-assisted quote journey in action
A customer starts in their own words. The interface extracts what it can, asks only for what is missing, and turns the conversation into structured work for staff.
Browser-only demo · simulated AI · no data sent
Customer enquiry
1/4I need to move my Labrador from Sydney to Barcelona in October.
One useful question
What is the dog's name and approximate weight?
The route is already clear, so there is no reason to ask for Sydney, Barcelona or October again.
Live structured brief
Updates as the conversation progresses
57%
captured
Pet
Labrador
Origin
Sydney
Destination
Barcelona
Travel window
October
Pet details
Structuring the enquiry…
Date flexibility
Structuring the enquiry…
Document status
Structuring the enquiry…
Illustrative route
Sydney
Doha
Barcelona
A production system could compare real route, supplier, timing and business-rule data here.
Still needs a human answer
AI should make the next question easier, not pretend missing information does not matter.
Demo 2 · staff workspace
Turn the structured enquiry into a quote staff can control
AI can prepare the starting point. Conventional business rules, configurable pricing and a clear review workflow are what turn that suggestion into dependable commercial software.
Fictional data and pricing · browser-only
Choose a route
Two fictional options produced from the same structured request
Configure services
Staff decides what belongs in the quote
Quote summary
Air transport
SYD → DOH → BCN
Origin collection€220
Travel crate€340
Destination handling€280
Illustrative total
€3,300
Demo pricing only — not a real transport quote
Demo 3 · operations control tower
Turn a busy operation into a clear list of what needs attention
The useful AI layer is not a robot secretly running the business. It watches structured operational state, explains exceptions and helps the team act faster.
Fictional live operation · deterministic browser simulation
Live movement board
Select an exception to inspect it
Network view
Illustrative active movements
Exception detail
Luna · PN-1842
- Route
- Sydney → Barcelona
- Current milestone
- Flight connection
- Owner
- Air team
What changed
Connection window tightened after a fictional schedule change.
Suggested next step
Confirm the transfer window before sending the customer update.
Human action
Demo 4 · flight & shipment tracker
Give customers reassurance without hiding operational detail from staff
One event stream can power two very different experiences: a calm customer view and a detailed operational view. Inject a fictional disruption to see both update together.
Simulated movement data · no live flight API
Luna's journey
Reference PN-1842
Sydney
Doha
Barcelona
Journey on schedule67%
Departed
08:10
Connection
17:45
Arrival
09:30 +1
Journey on schedule
Luna has completed the first flight and is progressing through the planned connection. No action is needed from you.
Pet checked into transfer care
Doha
Estimated arrival
09:30 tomorrow
Latest customer update
Plain-language update prepared from events
This changes only local demo state
Demo 5 · document & compliance workspace
Extract the facts, show the source, and send uncertainty to a person
Useful document AI should not hide where an answer came from. This fictional workspace links every extracted field back to a synthetic source and makes a mismatch explicit before anyone relies on it.
Synthetic certificate · fictional rules · not veterinary or import advice
Synthetic vaccination certificate
DEMO DOCUMENT — NOT VALID FOR TRAVEL
Harbour Demo Veterinary Centre
Synthetic certificate #DV-2048
Pet name
Luna
Microchip
985 141 002 764 119
Rabies vaccination
18 May 2026
Certificate expiry
18 May 2027
Clinic
Harbour Demo Veterinary Centre
DEMO DOCUMENT — NOT VALID FOR TRAVEL
Select an extracted field to highlight its source
AI-assisted extraction
Every value stays linked to evidence
Fictional validation checks
Conventional rules run after extraction
Pet identity matches booking
Name and microchip agree with the fictional booking record.
Vaccination date matches booking
Booking record says 16 May 2026; document says 18 May 2026.
Certificate expiry is present
An expiry value was extracted and linked to the source.
Human review required
The system should not guess which date is right. A person needs to compare the booking record with the source.
Generated work
Review vaccination-date mismatch
Source-backed, not magic
The AI proposes structured facts; deterministic checks and human actions decide what becomes trusted business data.
Demo 6 · communications & inbox assistant
Turn messy email into structured work without letting AI act silently
The useful integration is not a smarter inbox. It is the connection between messages, the operational record, the next task and a draft response a person can review.
Synthetic messages · simulated AI · nothing is sent
Original message
Demo Air Cargo
Schedule change — PN-1842 connection
Hello Operations, the fictional DOH–BCN sector for booking PN-1842 is now expected to depart at 00:15 instead of 20:25. Please confirm whether you want us to hold the space on the revised service.
Linked operational context
PN-1842 · Luna
Linked case
AI-assisted understanding
Facts proposed from the message
Booking
PN-1842
High confidence
Sector
DOH → BCN
High confidence
Old departure
20:25
High confidence
New departure
00:15
High confidence
Suggested task
Review revised connection and confirm replacement handling window
Reply draft
Thanks for the update. We are checking the revised connection against the handling plan for PN-1842 and will confirm the space once that review is complete.
Human approval required before send
From possibility to production
We do not stop at the demo
A clever model response is not a dependable product. The valuable work is turning the useful capability into software your staff and customers can trust every day.
01Discover
Find the opportunity
Understand how the business works, where time or information is being lost, and whether AI is actually the right tool.
02Validate
Prove the uncertain part
Test the risky assumption cheaply before committing to a large build. Find out what the technology can and cannot do with your real problem.
03Build
Build the real system
Design the product around the AI: user experience, business rules, data, permissions, integrations and the conventional software that makes it useful.
04Operate
Make it dependable
Add testing, fallbacks, monitoring, security, cost controls and human review, then keep improving the system after launch.
Sometimes the answer is simpler software. If AI adds cost or uncertainty without enough value, we will say so.
Talk through your problemAI is only useful when the software around it works.
I've spent 12 years building software professionally. The current AI wave changes what is possible, but it does not change what makes a product dependable: understanding the real workflow, handling exceptions, integrating with the rest of the business and maintaining it after launch.
For around five years I have designed, built and maintained an end-to-end production platform for an international logistics business, spanning quoting, pricing, bookings, operations, customer self-service, payments, accounting integrations and reporting. That long-term experience shapes how I approach AI: as part of a real operating system, not a standalone trick.
AM
Aaron Manning
Senior Software Engineer & Software Architect
Who you'll work with
You work with the senior engineer, not a sales layer.
ManningCorrea is deliberately small. I scope, architect and build the technical work, supported by a non-technical assistant. You speak directly to the person responsible for making the system work.
01
Senior from the first conversation
The technical person understanding the problem is the same person responsible for the architecture and build.
02
AI only where it earns its place
We separate genuinely useful AI from problems better solved with ordinary software or automation.
03
Production, not a proof-of-concept handoff
The surrounding product, data, integrations, failure paths and human controls matter as much as the model.
04
Built with the long term in mind
Five years maintaining one production platform has made post-launch reality part of how we design from day one.
What we build
AI where it helps. Solid software everywhere else.
We can start with an unclear opportunity, an existing system that needs AI or automation, or a completely new product. The common thread is building around the real business rather than around a fashionable technology.
AI opportunity & product consulting
Work out where AI can create value, what data and integrations it needs, what risks matter and what is worth proving first.
AI integrations & automation
Add extraction, classification, search, summarisation, drafting, triage and decision support to the workflows and software you already use.
Bespoke business systems
Replace spreadsheet-heavy and manual processes with software designed around the way your operation actually works.
Customer-facing software
Build quoting, booking, tracking, portals and self-service experiences connected directly to the operational system behind them.
Complex integrations
Connect business software to accounting, payments, communications, suppliers, databases and third-party services without creating another manual handoff.
Not sure whether your problem needs AI? That's exactly what the first conversation is for.
Free first conversationWhat could AI do
What could AI do
for your business?
Tell us where work is slow, repetitive, information-heavy or limited by the software you have today. We'll help you work out what is realistically possible — including when the best answer is not AI.
hello@manningcorrea.comWe reply within one business day