Drop a document. See what you missed.
Not a chatbot — a five-lens review that reads a document the way a careful specialist would. It scores it, maps every obligation and deadline, flags the risks and gaps, and shows you the exact line behind each finding. Then switch to adversarial mode to see how someone could use the document against you.
The short version
I'm Abir. I'm an AI engineer. I design and build agents and automation for companies that can't afford to get them wrong.
I came up through engineering, with work spanning manufacturing, supply chain, autonomous systems and IoT, where a wrong answer carries a real cost. That taught me to build AI that holds up under pressure, with sources you can check and nothing left to chance. The domain was engineering. The discipline applies to any business.
I build the whole layer. Agents that read your documents, automate the manual work, and answer in language anyone can use. When an agent needs to operate your tools, whether that's a CRM, an ERP, a database or an internal API, I build the Model Context Protocol servers that make it safe. I've done it for systems as demanding as Teamcenter, Windchill and Polarion, which means I can do it for almost anything. I own the work from the first line to the version your teams depend on.
I've shipped in engineering and life sciences, but none of this is industry specific. If you can describe the workflow, I can build the agent, whatever business you're in.
What I can help you with
These are the patterns I'm asked for most. In practice, if you can describe a workflow, I can build an agent for it.
Private knowledge assistant
Your teams spend hours searching for answers that already exist somewhere in your files. This finds them. Point it at your contracts, reports, research, policies, specs, slides and video, and it answers in plain language with the exact source attached. The processing runs on your own infrastructure, so confidential material never leaves it.
MCP servers for your tools
Model Context Protocol is how an AI agent safely operates the tools you already run, any tool, from a CRM to an internal API. I build those servers. I've done it for systems as demanding as Teamcenter, Windchill and Polarion, so an agent can read, validate and act through one controlled interface, with nothing leaving your network.
Document and process automation
The manual review work that quietly drains senior time: checking documents, confirming compliance, pulling data out of files, reconciling records, preparing reports. An agent handles the first pass and surfaces precisely what still needs human judgment, so your people spend their hours on decisions rather than data entry.
System integration
Most organizations run critical tools that refuse to share data: CRMs, ERPs, PLM and ALM systems, internal databases, SaaS apps. I connect them so information moves automatically and stays consistent, which removes the manual handoffs where errors and delays usually begin.
Not on this list? Describe what slows your team down. If someone does it the same way every week, an agent can usually take it over.
From first call to production
The same sequence on every engagement, so you always know where things stand.
Understand the system
How your tools behave, and what their interfaces will and won't permit.
Define safe actions
Each operation becomes a controlled capability the agent can call.
Build the agent
The logic that reads a request, selects the right action, and responds.
Add retrieval
Your documents become searchable by meaning, not just keywords.
Build the interface
A clean screen your teams adopt without training.
Harden for production
Logging, error handling, and testing, so it holds up under real conditions.
Some of what I've built
These happen to come from engineering and life sciences, but the patterns, a private assistant, a validator, a generator, a bridge between systems, apply to almost any business. Names and specifics stay confidential.
Cross-system traceability
Design data and requirements lived in separate systems and drifted out of alignment, kept in sync by hand. I built an agent that bridges both, generates the traceability records, and runs change-impact analysis on request. The manual reconciliation disappeared.
Private document intelligence
Years of institutional knowledge sat across thousands of files, technically searchable and effectively lost. I built an on-prem assistant with hybrid search and verified citations that answers questions without a single file leaving the network.
BOM validation
Incomplete bills of materials reached procurement, where small gaps became real cost. I built an agent that verifies completeness, compliance, and traceability before release, inside a review tool that shows the source and the check side by side.
Training generation
Converting dense technical documents and video into usable training consumed weeks of expert time. I built an agent that reads both and produces structured modules, each with a coverage score and a clear list of what the source material is missing.
Have a process worth automating?
Tell me where your teams lose time. If I can automate it, I'll show you how it would work. If I can't, I'll tell you that plainly.