Rules when the path is clear
If the logic is if-this-then-that—status equals X, amount above Y, form field filled—we keep it as rules. Fast, predictable, easy to audit.
AI automation
Grand River Labs
Practical AI inside the work you already do.
Extraction, triage, drafting, and assistants—tied to your real systems. No demos that die on a slide. Tools your team can trust day to day.
When AI belongs
Rules for the clear path. AI for the gray area.
We don't bolt a model onto every step. Where judgment is needed—messy inputs, ambiguous routing, drafting—automation can include AI. Where rules are enough, we keep it simple.
AI when judgment shows up
Unstructured email, messy PDFs, ambiguous tickets, “close enough” matches. AI reads the gray area, proposes a next step, and hands off when confidence drops.
Both, wired into your stack
The win isn’t a chat window. It’s AI and rules sitting inside the CRM, inbox, and ops tools your team already trusts—so work moves without a new island.
Examples
Where AI pays off in real workflows.
Full write-ups of the patterns we see most—situation, what the automation does, and the outcome your team feels.
Document extraction
Invoices, contracts, and intake PDFs land in a shared inbox or drive. Someone opens each file, hunts for dates, amounts, parties, and line items, then retypes them into the CRM or ERP.
What we buildAI reads the document, pulls the fields you care about, flags low-confidence values, and pushes clean records into the system of record—with a human check on exceptions.
OutcomeHours of retyping disappear. Data lands where work already happens, same day.
Inbox and ticket triage
Support and ops queues fill with requests that look different every time. The first pass—sort, tag, route—eats half a morning before anyone solves a real problem.
What we buildAI classifies intent, urgency, and account context, then routes to the right queue or owner. Edge cases and angry threads escalate with a short summary attached.
OutcomeThe queue sorts itself. People start on the work that needs judgment, not the filing.
Drafting with human review
Proposals, client replies, and handoff notes follow the same shape, but every draft still starts from a blank page. Quality varies with who is writing and how rushed they are.
What we buildAI drafts from your templates, CRM fields, and prior wins. Your team edits tone and specifics—then sends. Nothing ships without a person in the loop.
OutcomeFirst drafts in minutes. Consistency up, blank-page time down.
Knowledge agents over your docs
SOPs, manuals, and policy PDFs live in folders nobody searches well. New hires ask the same questions; veterans dig through Slack and old decks.
What we buildAn agent answers from your approved corpus—with citations back to the source. When the answer isn’t there, it says so and points to a human.
OutcomeAnswers in seconds, grounded in what you’ve already written—not a generic chatbot.
CRM cleaning and enrichment
Duplicates, missing industries, stale titles, and half-filled accounts slow every campaign and forecast. Cleanup is always “next quarter.”
What we buildAI spots duplicates, standardizes fields, and enriches records from approved sources. Changes land as suggested updates or auto-apply under your rules.
OutcomeA cleaner CRM without a multi-week spreadsheet project.
Reporting and insight summaries
Dashboards exist, but executives still ask for the story: what moved, what stalled, what needs a decision. Analysts spend Mondays assembling the narrative by hand.
What we buildAI reads the numbers and open items, then drafts a weekly brief—patterns, exceptions, and suggested follow-ups—ready for a human to tighten.
OutcomeLess scrolling, more decisions. Like adding an analyst for the first pass.
Sales prep and CRM updates
Reps leave meetings and either update the CRM carefully or chase the next call. Notes go stale; prep for the next meeting starts from memory.
What we buildAfter a call or from the transcript, AI drafts the CRM update, next steps, and a short prep brief for the follow-up—rep reviews and commits.
OutcomeCRM stays current. Prep takes minutes, not a scramble before the meeting.
Support deflection with escalation
The same FAQs, policy questions, and “where is my order?” threads repeat every day. Humans burn cycles on answers that never change—while real edge cases wait.
What we buildAI handles high-confidence, repeatable asks with the same inputs every time: FAQs, policies, product data, past tickets. Anything uncertain escalates with context.
OutcomeVolume drops for the team. Customers get faster answers on the easy stuff.
How we put AI to work
Discover. Design into your stack. Stay with it.
White-glove from the first map of the bottleneck through the weeks after launch—so you get a working process, not a brittle handoff.
- 01
Discover
We sit with the people who live the process, map where judgment and rework hide, and pick the AI use cases that save real time—not the ones that look flashy in a demo.
- 02
Design into your stack
We wire extraction, triage, and assistants into the tools you already run. Guardrails, review steps, and fallbacks are part of the design—not an afterthought.
- 03
Launch & refine
We launch carefully, watch the first weeks of real traffic, and tune prompts, routing, and handoffs until the automation earns trust day to day.
Ready when you are
Let's find where AI earns its keep.
Tell us about a process that eats time in the gray area. We'll map a practical path from today's bottleneck to a working automation.