AI implementation partner · operations teams
thevivangroup designs, builds, integrates, and maintains AI agents, document intelligence systems, and internal copilots for operations-heavy businesses that need automation to work in production — not in a demo.
Workflow shape
identical across every system we ship
§ 01 · Failure modes we design around
These are not opinions. They are the patterns we hear from operations teams in the first call. Every workflow we ship is engineered to make these failures visible and recoverable.
Symptom
The chatbot answers questions but cannot act on a record.
Root cause
No write path to the CRM, work-order system, or DMS. The workflow stays manual after the conversation.
Our control
Every system we build writes back to the source-of-truth system, with explicit auth and an audit log.
Symptom
Worked in the demo. Broke two weeks after launch.
Root cause
API and data shapes drifted. No monitoring. No owner. No regression eval.
Our control
Each workflow ships with a named owner, structured logs, alerts, and a regression eval set we run on every change.
Symptom
Confidently wrong answers go unnoticed for weeks.
Root cause
No citations. No confidence threshold. No human review gate on consequential output.
Our control
Retrieval with citations, confidence thresholds, and a declared human-review point on every consequential step.
Symptom
The freelancer or agency disappeared after invoice one.
Root cause
AI workflows need re-indexing, prompt updates, and break/fix. None of that was scoped or staffed.
Our control
Managed support covers prompts, indexes, integrations, and incidents. Every workflow has an SLA.
§ 02 · What we build
Input. AI task. Human review. System update. Every system on this site follows the same operational shape — and exposes the same five spec rows.
Capability · featured
view system →Capability · featured
view system →Capability
Faster lead response and cleaner CRM records.
Input: Website forms, emails, chat, and phone transcripts.
view system →Capability
Better pipeline visibility and fewer missed follow-ups.
Input: Pipeline data, emails, proposals, and customer activity.
view system →Capability
More value from the Microsoft tools you already pay for.
Input: Microsoft 365, SharePoint, Teams, Dataverse, Dynamics.
Capability
Reliable AI systems instead of shelved pilots.
Input: Broken or underperforming automations and AI pilots.
§ 03 · Common concerns
Is this safe for sensitive business data?
Every workflow is designed around permissions, data minimization, human review points, and auditability. Sensitive workflows use stricter access controls, redaction, and explicit approval gates.
Is this different from Zapier, Make, or n8n?
Those tools are useful but tend to break when APIs or data change and lack AI reasoning, retrieval, and governance. We build workflows with those concerns from day one — and we'll still use those tools where they fit.
How do we start?
Most engagements start with an AI Workflow Audit — we map one or two painful workflows, score automation opportunities, and recommend a prototype with an ROI estimate.
§ 04 · Industries
Logistics, construction, industrial services, professional services, and healthcare administration. Each segment has its own documents, its own bottlenecks, and its own example systems.
Industry profile
§ 05 · Implementation process
No slide decks. No transformation roadmaps. We map, prototype, integrate, and maintain — in that order — and you stay in control at every step.
Step 01
Understand the tools, documents, people, approvals, and exceptions involved in the real work.
Step 02
Test the workflow on real or sample data with evaluation and human review built in.
Step 03
Connect to CRM, Microsoft 365, email, SharePoint, Google Drive, QuickBooks, APIs, and dashboards.
Step 04
Add support, evaluation, logging, and maintenance so the workflow stays reliable over time.
§ 06 · Example systems
Example AI workflow systems — not shipped SaaS products. Each demo shows how a real workflow can be restructured with AI, integration, and human review.
Featured demo
Extracts, validates, and routes BOLs, PODs, and freight invoices for logistics teams.
view system →Featured demo
Permission-aware internal copilot over SharePoint, Drive, SOPs, and manuals.
view system →Featured demo
Voice receptionist that answers calls, books appointments, and updates the CRM.
view system →DockFlow AI · SiteDesk Copilot · ClinicOps Agent · LeadOps Concierge · ContractLens AI · KnowledgeBase Command Center · SafetyDoc AI · RevenueOps Reconciler · FrontDesk Voice AI
§ 07 · Trust and proof
No fake testimonials. No stock-photo logos. Real trust is earned with engineering artifacts, operational artifacts, and references — added as engagements conclude.
Engineering artifacts
Operational artifacts
Trust artifacts
Real client references and case studies are added only after engagements conclude — never fabricated.
§ 08 · More questions
Common integrations include Microsoft 365, SharePoint, Teams, Dataverse, Power Automate, Google Drive, email, CRMs (HubSpot, Salesforce, others), QuickBooks, TMS/ERP systems, and internal APIs.
No. Most operations teams don't have clean data — that's normal. We design for messy real-world inputs with confidence thresholds, fallback rules, and human review where the data is ambiguous.
We combine retrieval with citations, confidence thresholds, evaluation tests, guardrails, and human approval gates. When the model is uncertain, the workflow escalates instead of guessing.
Every workflow has a declared human checkpoint and an escalation path. Logs capture inputs, outputs, and decisions so you can trace, correct, and retrain the flow.
Yes. We build Copilot Studio agents, Power Automate flows, and SharePoint-aware copilots that respect existing permissions and live inside tools your team already uses.
Yes. Managed support covers prompt updates, re-indexing, API changes, integration fixes, monitoring, evaluation, and optimization. Every workflow has a named owner.
A controlled prototype typically takes a few weeks. A production-integrated workflow depends on the systems involved, but the goal is a working system in weeks, not quarters.
Yes — see FrontDesk Voice AI on the example systems page and our field note on missed calls and voice receptionists. We've shipped voice agents for a dental practice and a construction crew.
§ 09 · Final step
We'll help you determine whether AI should automate it, assist it, or stay out of it.
one workflow · 30-min call · no slide deck
Book an AI Workflow Audit