I build conversational AI — chatbots and assistants that run on the channels your team already uses, connect to your internal and proprietary systems, and answer from your governed knowledge, with a human in control. I build to ship in production, not slideware.
The value isn’t a generic bot on a web page. It’s an assistant I wire into the systems your work runs on — CRM, databases, document stores, internal knowledge — inside permissions you set, reachable on mobile messaging (such as Telegram or WhatsApp) or your own web app, with human review where it matters.
Proof I ship#
I built and operate KindyWords, a live AI mobile chatbot on Telegram. A photo of handwritten work goes in; it replies with a voice note and a marked-up page, staying inside human-set guardrails. It’s a consumer product, not an enterprise system — but it proves I ship real, running multimodal chatbots, not demos.
KindyWords proves the delivery — a real bot, live, on a messaging channel. The enterprise integration — your systems, your permissions, your governed knowledge — is the part I build for each client.
Where a governed assistant earns its place#
The strongest case is the one most chatbots can’t reach: your data is on-prem, but your people aren’t at their desks. Field, warehouse, and frontline staff can’t get to the ERP from where they actually work. I build a governed assistant on the messaging app they already use that brokers the answer — read-only by default, scoped to each person’s permissions, every query logged, and the data staying on your systems.
Your systems and knowledge — answered where your people are
Your policies, SOPs, and know-how — governed, current, and cited.
Your CRM, ERP, and document stores — read where the data lives.
Only what this person may see
Answers only from your systems and knowledge — it retrieves and cites, it never guesses.
The answer travels — not your data
Trusted and source-backed — in real time, on the channel they already use.
In the field — no desktop, no VPN
Illustrative, not a live chat — a conceptual view of one governed exchange. The assistant reads under each person's permissions and logs every query, a person approves anything that writes back, and nothing here invents data — it retrieves and cites from your own systems and knowledge, which stay on your systems.
Here’s what I build it to do:
- Real-time ERP lookups from the field — “Stock on hand for part X at warehouse 3?” · “Customer credit status and open invoices?” · “PO status and ETA?” — from the messaging app they already carry, no desktop, no VPN.
- Approvals on the go — a PO, leave request, or expense arrives as a message; approve or reject from your phone, writing back through your workflow.
- Multimodal field capture — staff send a photo or voice note (“delivered 40 units to bay 2, one pallet damaged”); it can be structured, logged, and exceptions flagged for review. Photo intake and voice replies like this already run in my KindyWords bot.
- Frontline SOP and policy answers — “What’s the returns policy for a damaged item over 30 days?” — answered from your governed knowledge, with sources and human review.
- Proactive alerts — low-stock reorder points, overdue receivables, or approvals waiting too long, pushed to the person who owns them.
Each is built to run read-only by default, inside permissions you set, with an audit trail and a human in the loop for anything that writes back. On-prem systems such as SAP, Microsoft Dynamics, NetSuite, or your own database connect through a governed connector I’d build for your environment — your data stays where it is.
Product names are referenced for compatibility and description only, and do not imply partnership, endorsement, or certification with SAP, Microsoft, Oracle, or any third party.
The person building these connectors is a Microsoft-certified data engineer and MarkLogic Certified Administrator & Developer — see credentials.
Start with one workflow#
Value-check one workflow or book a free discovery call to talk through where a governed assistant would earn its place.