We help small businesses turn messy, repetitive workflows into practical AI automations: customer follow-up, inbox triage, reporting, internal tools, agentic research, document handling, and secure always-on assistants your team can actually use.
Built by a 2x startup founder (MIT '02) who's shipped products used by thousands of businesses.
We design and implement AI agents and automations around your actual business process, using the right mix of tools, APIs, messaging channels, and human approvals.
We build and deploy agents that can research, summarize, draft, update systems, monitor changes, and ask for approval before high-stakes actions.
Inbox triage, lead follow-up, document routing, reporting, CRM updates, intake forms, reminders, research briefs, and internal operations glue.
OpenClaw, ChatGPT, Claude, Codex, Zapier, Make, custom scripts, or internal apps — we choose the boringly useful stack for your constraints.
We document what was built, configure sensible permissions, train your team, and leave you with systems you understand instead of a black box.
If your team is stitching together email, spreadsheets, documents, CRMs, and manual follow-up, this is for you.
Automate lead follow-up, listing research, CRM updates, showing notes, vendor coordination, and daily deal briefings.
Route incoming documents, extract client details, track deadlines, draft follow-ups, and surface missing items before they become fire drills.
Build secure intake workflows, research agents, file organization, client update drafts, and daily summaries so nothing falls through the cracks.
5-10 hrs
Often recoverable each week
from one well-chosen workflow
1-2 wks
Typical first build
from workflow map to handoff
Paid
Consulting and implementation
scoped before work begins
Paid engagements, practical scope: we start by identifying the repetitive work with the clearest return, then quote a focused implementation. Tool subscriptions, API usage, and hosting are separate pass-through costs paid directly to providers.
Good automation is selective: we do not automate everything. We automate the repeatable parts, keep humans in the loop where judgment matters, and make the system easy to inspect.
We handle the technical complexity and keep the scope grounded in the work your team already does.
We map the workflow, the handoffs, the tools involved, the data sensitivity, and the parts where AI can safely save time. You leave with a clear recommendation, even if we do not build it.
We implement the agent, automation, or internal tool: prompts, workflows, API connections, approval steps, error handling, logging, and the small pieces of code needed to make it reliable.
We test the system with real examples, train your team, document how it works, and make sure you know how to review outputs, update rules, and decide what should stay human.
MIT '02
Computer Science
2x Founder
Reputology & Talkable — products used by thousands of businesses
15+ Years
Building and shipping software products
"Nori is one of the most talented and driven people I've had the pleasure of working with."
— Matthew Bookspan
ChatGPT is useful, but most businesses need more than a blank chat box. We turn AI into working systems connected to your tools, documents, approvals, and recurring workflows. That might include ChatGPT, Claude, Codex, OpenClaw, automations, or custom code depending on the job.
Bring one workflow that wastes time, creates delays, or depends on too much manual copying between tools. We will ask what systems you use, what the current process looks like, what must be reviewed by a person, and what data needs protection.
Most projects have some combination of AI subscriptions, API usage, automation-platform fees, hosting, or maintenance. We keep those costs visible before implementation and avoid expensive architecture unless the workflow truly needs it.
Common builds include inbox triage, lead follow-up, CRM updates, document intake, client summaries, research agents, reporting workflows, internal dashboards, Slack or email assistants, proposal drafts, data cleanup, and scheduled monitors. The best first project is usually narrow, repetitive, and easy to measure.
No. The pilot program has ended. New work is paid consulting or paid implementation, scoped clearly before we begin.
We design around least privilege, human approval for sensitive actions, access controls, logging, and clear operating boundaries. If a project uses an autonomous agent framework such as OpenClaw, we add extra care around permissions, allowlists, sandboxing, and monitoring. Like any powerful tool, AI automation requires responsible use.
We're based in the East Bay and serve Oakland, Berkeley, and surrounding areas for on-site setup. Remote setup via video call is available for businesses outside the area.
Tell us where the work gets stuck. We'll map the opportunity, recommend the right implementation path, and scope a paid build if there's a strong fit.
Agent implementation, AI automation, and practical consulting for small teams
Or email us directly at nori@thelogicguild.com