Make company knowledge easier to use
Build assistants that retrieve relevant information from approved sources and help people find answers. Plan for source references, access restrictions, and questions the assistant should leave unanswered.
Agentic AI development & workflow automation
Build AI agents around the work your business needs done.
A useful agent needs context, access to the right tools, and clear boundaries. I help identify where AI can reduce manual work, then design and build assistants and workflows that fit your existing systems and the level of oversight your team needs.
Discuss your business challengeWork directly with Sirajuddin Mohammed · Remote consulting worldwide
Where I can help
Start with the work you want to improve.
Process documents and requests
Extract and organise information from documents or incoming requests, check it against business rules, and prepare the next step for review. Handle incomplete or uncertain inputs explicitly.
Connect work across business systems
Use approved APIs and databases to gather context and coordinate multiple steps. For example, an operations agent can read a request, check records, and prepare an update for a person to approve.
What an engagement can include
Agree on useful, testable deliverables.
- A workflow and feasibility review, including whether simpler automation is a better fit.
- A focused prototype connected to agreed knowledge sources or tools.
- An evaluation set covering typical requests, edge cases, and failure scenarios.
- Permissions, approval steps, logging, and fallback behaviour suited to the task.
- Deployment, documentation, handover, and an agreed support scope.
How we assess whether it works
We evaluate task completion, answer quality, tool use, latency, and operating cost against representative examples. Actions with meaningful consequences can require human approval. A pilot should expose retrieval gaps, incorrect tool choices, and uncertain results before the workflow is expanded. The framework and model are implementation choices, selected around your requirements.
What to bring to the first conversation
Describe the workflow, the people involved, the tools they use, and the repetitive steps that take time. Share an example of a successful outcome and what must never happen. We can map the process and assess feasibility before committing to a larger build. Please keep confidential records out of the initial enquiry.
Relevant work
See the problem, approach, and deliverable.
Practical reading for your team
Before we start
Does every workflow need an AI agent?
No. Rules, a conventional integration, or an ML model may be more reliable and economical. The recommendation follows the task and the cost of errors.
Are you limited to a specific framework or model?
No single framework defines the offer. Tools and models are chosen to fit the workflow, integrations, budget, and maintenance requirements. Existing project details show examples of technologies I have used.
Can an agent use our existing tools?
Where suitable APIs, permissions, and access are available, an agent can work with your systems. Discovery checks integration options, data restrictions, and which actions require approval.
Can you deliver remotely across regions?
Yes. I work with teams worldwide. We agree on meeting overlap, access, review checkpoints, and handover so the work can fit your team’s location and schedule.
Tell me what you want to improve.
Start with an introductory call to establish fit. If the opportunity needs investigation, we can scope a paid AI & Data Opportunity Assessment. With clear requirements, we can discuss a pilot or implementation directly.
Discuss your business challengeLooking for data science and forecasting?
The two services can be delivered separately or combined around your business need.
Data science, forecasting & machine learning consulting ↗