AI Readiness Assessment
Find and rank where AI pays back in your business.
- Interviews with the people doing the work
- Data and systems review
- Ranked use-case roadmap with costs
We turn your daily work into
AI automations.
Haneex engineers listen to your team, observe how the work really gets done, and turn the repetitive parts into automations with LLMs and AI agents, to help you cut costs and move faster.
- Today
- Invoice arrives by email
- 1ListenSomeone re-keys it into the ERP
- 2ObserveChasing approvers, checking the PO by hand
- With Haneex
- Invoice arrives by email
- 3PlanAgent reads it and matches the purchase order
- 4AutomatePeople review only the exceptions; the rest post to the ERP
ERPReview
What you can hold us to
Four commitments, on every engagement.
- Your data stays putWe deploy inside your cloud or tenant, with the access rules you already have.
- People stay in chargeHuman review where it matters, so the automation does the repetitive part and your team keeps the judgment.
- Every change reviewedIndependent review on every change, and a rollback written before anything is deployed.
- Your team owns itDocs and training come with the work, so the system keeps running after we leave.
We work in
- Snowflake
- AWS
- Azure
- Python
- TypeScript
- Docker
- Open-source, OpenAI, Anthropic and xAI models
Everyone wants AI. Few know how to use it.
Most teams have tried a chatbot.
Very few have AI running inside their daily work.
That gap is where Haneex works.
Most AI projects stall between the demo and the day-to-day.
- The data isn't ready. The model works in a notebook, then meets three versions of the truth.
- The cloud bill surprises everyone. Nobody planned for what it costs to run.
- No one owns it. The consultants leave and the system quietly stops.
AI engineers, not a traditional dev shop.
We work where the work happens and build AI into it.
AI engineers and Forward Deployed Engineers
We work beside your people, not from a ticket queue.
Built around your work, not a spec
We start from how your team actually works, then design the automation, so it fits how your team already works.
Your data stays in your control
We deploy inside your cloud or tenant, use the AI providers you approve, and respect the access rules you already have.
Services, consulting and development.
All services →AI Strategy & Implementation
Find the AI work worth doing, then build it into the tools your people already use: assistants, agents and automations with human review.
Learn more →Data Engineering & Snowflake
Pipelines and a warehouse your teams and models can trust, with access controls and costs you can see.
Learn more →Cloud & DevOps
AWS and Azure set up to deploy safely, recover fast and cost what you planned.
Learn more →IT & Technology Consulting
Independent advice on strategy, architecture, vendors and security, before you spend the budget.
Learn more →Technology Development
Custom software, apps and AI products, designed, built and supported after launch by the same team.
Learn more →Maintenance & Support
Monitoring, fixes, security updates and AI upkeep for the applications you already run.
Learn more →Solutions you can start with
Packaged starting points for the problems we see most.
Knowledge Assistant
An assistant that answers from your own documents, with sources.
- Connects to your files and wikis
- Answers cite their source
- Respects who may see what
Document Automation
Invoices and forms read, checked and routed for you.
- Extraction from PDFs and scans
- Validation against your rules
- People approve only the exceptions
Data Platform Launch
One warehouse and one set of numbers everyone trusts.
- Snowflake setup and modeling
- Tested pipelines from your systems
- Dashboards on the shared data
Cloud Cost & Reliability Review
A cloud that deploys safely and costs what you planned.
- Cost and right-sizing review
- Monitoring and alerting check
- Rollback and recovery tested
Listen, observe, plan, automate.
You can stop after any step and still walk away with something useful.
1
Listen
We sit with your team and hear where the time goes: the repetitive, slow and error-prone work.
You keep: a map of your daily work
2
Observe
We watch the work step by step, with the real tools and data your team uses.
You keep: ranked automation opportunities
3
Plan
We choose what to automate first and design it around your systems and access rules.
You keep: an automation plan with costs
4
Automate
LLMs and AI agents take on the repetitive work, with docs and training so your team owns it.
You keep: working automations + trained team
Senior engineers. No layers in between.
| Criteria | Large consultancy | Freelancer | Haneex |
|---|---|---|---|
| Who does the work | Often a separate delivery team | One person, one skill set | Engineers embedded in your team |
| Where the work happens | Workshops and slide decks | Remote, from a ticket | Inside your daily operations |
| AI + data + cloud | Separate teams | Usually one of the three | All three, one team |
| Review and rollback | Usually, with more process | Depends on the person | Every change, by default |
| Built for | Enterprise budgets | Small, single tasks | Any business, any size |
Client zero: we run our own AI before we recommend it.
Our in-house AI system handles research, code review and daily operations across our own work.
- research: sources cited, facts checked
- change gate: plan approved before code
- review: independent check on every diff
- rollback: written before deploy
- memory: decisions carried across projects
Before you get in touch
What is a Forward Deployed Engineer?
An engineer who works alongside your team, inside your real daily work, instead of from a distance. They see the problem first-hand and build the fix right where it gets used.
Do you work with businesses like ours?
Yes. We start by learning how your business runs day to day, so the approach works for any industry and any size: clinics, law firms, manufacturers, retailers, logistics, accounting firms and more.
Do you work alongside our existing team?
Yes. We work in your tools and process, and the goal of every engagement is that your team can run what we build.
Where does our data live?
In your accounts and your cloud. We use least-privilege access and never keep copies we don't need.
What if AI isn't the right answer?
Then we tell you on the first call. Often the better first step is cleaning up the data or the process.
How do we start?
Send us a message and we'll schedule a short call. If there's a fit, we propose a short, fixed-scope Embed and Pinpoint phase before anything bigger.
Tell us what you need next.
Advice, a project or a product: send us a message and we'll schedule a call to find the right first step.