Dallas-Fort Worth · Power Automate Consulting

Power Automate that closes the gap between your systems. Not another dashboard nobody opens.

We help Dallas-Fort Worth finance, operations, and supply-chain teams stop re-keying the same data between ERPs, CRMs, and spreadsheets. One team maps the hand-off, builds the flow, and leaves your IT team a runbook they can actually maintain.

Microsoft Solutions Partner 100+ Power Platform builds shipped Cloud flows + Desktop RPA
?

Power Automate, in plain English

TL;DRPower Automate is Microsoft's built-in "if this, then that" tool. A trigger fires (a form's submitted, a file lands in a folder, a record changes status), a condition or two gets checked, and the actions that follow run on their own — route it for approval in Teams, update the ERP, notify the right person.

Cloud flows connect anything with a modern connector — Dynamics 365, SharePoint, Salesforce, Outlook, Teams. Power Automate for Desktop (desktop RPA) drives the systems that don't — the legacy accounting screen, the carrier portal, the vendor site with no API. Most Dallas-Fort Worth engagements need both working together in the same flow.

D
Dominion Engineering
Nuclear & energy engineering · Inspection ticket routing — 90% efficiency gain
Power Automate · Dynamics 365
H
Höganäs
Metal-powder manufacturing · Onboarding & credit-approval automation
Power Automate · Infor M3
N
Intraoperative Neuromonitoring Service Provider
Healthcare technology · RCM & case-processing bots — 200+ hours saved daily
Power Automate · Desktop RPA
Credentials & certifications
Microsoft Solutions Partner Texas DIR-registered vendor Inc. 5000 Honoree 100+ Power Platform builds
Common Challenges

Where Dallas-Fort Worth teams typically get stuck with Power Automate

Most Dallas-Fort Worth companies we work with already own Power Automate — it ships with their Microsoft 365 license. The gap isn't the tool. It's that a flow that actually holds up needs a scoped process, working connectors, and someone watching it once it's running unattended in production.

01

The exception path was never written down

"If it's a wire over $25K, escalate to compliance" lives in someone's head, not the flow — so the first edge case breaks it.

02

Half the stack has no connector

Carrier and logistics portals, older CRMs, and legacy ERPs common in DFW finance and distribution shops often need desktop RPA, not a stock cloud flow.

03

Flows fail quietly

A flow breaks overnight and nobody's watching. A reconciliation is off by Monday and nobody can say why.

04

The premium-connector bill surprises finance

Per-flow, per-user, and AI Builder credits show up on invoice two, and nobody budgeted for them.

Before You Automate

Four things that separate a Power Automate program that lasts from one that gets shelved in six months

The tool itself is not the hard part. The four factors below are what actually decide whether your Power Automate program pays back for years or quietly falls apart the first time someone leaves the company. Every engagement we run puts each one in place before we hand over.

👥
Factor 1

A governance body — someone owns the automation program

What it is. A named group — often just two or three people, one from IT and one from operations — that reviews every new flow request, kills flows nobody uses anymore, and decides what gets built next.

Why it matters. Without a named owner, flows sprawl. Requests pile up faster than they ship, priorities get set by whoever emails loudest, and the flow that broke six months ago is still sitting broken. A governance body is the one thing that turns "we use Power Automate" into "we run an automation program."

What to define upfront. Who signs off on new flows. How you rank priority when three teams want their process next. What your ROI threshold is — the number below which you politely say no. And who arbitrates when the queue is on fire and something has to give.

📊
Factor 2

A centralized dashboard — one place to see every flow's health

What it is. A single Power BI (or equivalent) dashboard that shows every flow in the tenant — its last run, its success rate, its failure alerts, its named owner, and its measured payback against the process it replaced.

Why it matters. A business owner should not have to log into the maker portal to know whether their automation is working. When a flow silently fails at 2 a.m. Saturday, someone needs to see it before Monday morning — not two months later when an invoice is missing.

What to show on it. Last run and status. Rolling failure rate. Time saved vs. the baseline process. Cost consumed (Per-Flow, Per-User, or AI Builder credits) vs. the value delivered. Every flow's named owner and last-updated date.

📝
Factor 3

Documented process — before, after, and what changed for people

What it is. A one-page write-up per flow that answers three questions: how the process worked before, how it works now, and what changed for the people involved — including who was trained on the new way and how the old work was retired.

Why it matters. This is what lets the automation survive turnover, audits, and the "why does this exist?" question a year later. It is also what lets a new team member fix the flow without hunting down the person who left in 2024.

What to capture. The as-is process on one page (steps, people, systems, exceptions). The to-be process on one page (trigger, conditions, actions, owner). The change-management notes — who was affected, what they had to stop doing, what training they got, and how you measured that the change stuck.

⚖️
Factor 4

A prioritization framework — a written rule for what comes next

What it is. A method for ranking automation requests when there are more requests than there is capacity. Something as simple as scoring each request on impact, urgency, and effort — and picking the top three each quarter — beats picking by whoever asked last.

Why it matters. When every department wants their process automated, someone will choose. It should be a rule, not a favor. It should also cover the reverse case — when three flows break the same Monday morning, which one gets fixed first.

What to write down. The scoring you use for new requests. The tie-breaker when scores match. Who arbitrates. The ROI threshold below which the answer is no. And the incident rule: what "high severity" means and who is on call for it.

Note on fit: if your workflow is truly one-of-a-kind or requires deep hardware integration, a custom build may still win. For 90% of Dallas-Fort Worth ops workflows we see, Power Automate replaces the manual copy-paste directly — provided the four factors above are in place from day one.

Highly needed use cases

The six flows that pay back fastest

Across 100+ Power Platform builds, these six patterns come up in almost every engagement — and they are the ones that pay back the fastest. Each links to the case study that proves it.

Finance

Invoice & PO approval routing

An invoice hits the shared mailbox → the flow reads the amount, routes it to the right approver in Teams, files the PDF, and posts the entry to your ERP.

SFL clients: up to 85% invoice-processing reduction
👤
HR & Sales

Customer & employee onboarding

A form triggers the flow → adaptive card in Teams, salesperson auto-assigned, credit check with the third-party service, data pushed to the ERP.

Metal manufacturer: 90% reduction — 60 hrs → 6 hrs per customer
💳
Revenue Cycle

RCM & verification-of-benefits bots

Desktop bots log into payer portals, verify eligibility, extract patient data, and update your billing system — 24/7, including weekends.

Neuromonitoring Service Provider: 200+ hours saved daily across departments
🔍
Operations

Inspection ticket & QAQC routing

A purchase receipt in D365 auto-creates an inspection ticket, attaches the CR number, notifies the inspector in Teams, and pings if unassigned after 24 hours.

Dominion Engineering: 90% efficiency, 60 hrs/month saved
📊
Manufacturing

OEE & shift-report automation

Plant-floor entries flow from Power Apps → Azure SQL → Power BI, replacing multi-plant Excel workbooks and CyberQuery reports.

MAI: 40–60% report-generation-time reduction expected
📄
Documents

Document extraction with AI Builder

Contracts, safety sheets, and SOPs get parsed by AI Builder, key fields pushed into SharePoint or Dataverse, and full text made searchable — with an optional ChatGPT layer for Q&A.

SFL manufacturing SOP search: enterprise-ChatGPT enabled
Scope of Services

What our Power Automate Consulting covers

Every engagement covers three tracks: mapping the process before we build, building the cloud and desktop flows, and setting up the monitoring and governance so the flows keep running after we hand over.

01
Discovery & Design

Map the actual process — not the wish list

  • Process walkthroughs with the people who do the work today
  • Documented "as-is" flow with real exceptions (returns, escalations, edge cases)
  • "To-be" flow design with clear triggers, conditions, actions, and owners
  • Written scope, licensing recommendation, and fixed price by end of week one
DeliverableA one-page flow map and a fixed-price scope you can take to finance.
02
Build & Integrate

Cloud flows + Desktop RPA together

  • Cloud flows across SharePoint, Dynamics 365, Outlook, Teams, Forms, SQL Server, Salesforce, SAP
  • Desktop RPA (Power Automate for Desktop) for legacy ERPs, payer portals, and browser-only apps
  • Custom and premium connectors for Infor M3, IFS Oracle, Sage 300, Cadwell, Revedy, Waystar
  • AI Builder document extraction, sentiment, and prediction models where they earn their credit cost
  • Teams adaptive cards for approvals so users never leave Teams
DeliverableA tested, production flow — cloud, desktop, or both — with error handling and retry logic in place.
03
Monitor & Govern

Keep flows running unattended

  • Environment strategy (dev / test / prod) with proper solution promotion
  • DLP policies aligned with your data classification
  • Named ownership and application lifecycle for every flow
  • Failure alerting and a live Power BI dashboard of flow health
  • Licensing review — Per Flow vs Per User vs Process, and AI Builder credits
  • Team training on Central time plus a written runbook
DeliverableGoverned Power Platform tenant, monitored flows, and a licensing plan finance can defend.
Engagement Timeline

Typical 2 to 6 week timeline per flow

Cloud-only flows usually ship in two to four weeks. Flows that require Desktop RPA against a legacy system take four to six. Larger portfolios (a dozen flows) are staged in waves so early wins fund the later work.

01
Week 1

Process discovery

A 30-minute call, then a 3-day walkthrough of the actual process — who does what, where the exceptions live, which systems touch it. Written scope by end of week one.

02
Weeks 2–3

Build & connect

Cloud flow built in your tenant with real connectors. Desktop RPA added for legacy portals or ERP screens that have no API. Adaptive cards for Teams approvals.

03
Weeks 4–5

Test & harden

Real invoices, real cases, real forms. Retry logic, error handling, and failure alerting added. Named runs go into a health dashboard your team can watch.

04
Weeks 5–6

Handover & monitor

Environment and DLP setup, ownership assigned, written runbook, live training for admins and end users. 30 days of post-launch support included.

Case Studies

Selected Power Automate engagements

Three Power Automate engagements across nuclear-power engineering, metal-powder manufacturing, and healthcare technology. Each began with a manual process nobody wanted to keep doing and ended with a set of monitored flows that run unattended.

Dominion Engineering case study
CASE STUDY — NUCLEAR POWER ENGINEERING

90% efficiency on inspection tickets

Half of the team's time was spent typing receipt information into Dynamics 365 by hand, chasing missing CR numbers in QuickBase, and emailing inspectors about 50–70 receipts a day. Scope of work: an automated flow that creates the inspection ticket on every D365 purchase-receipt event, auto-attaches files with a naming convention, pulls CR numbers from QuickBase, notifies the right inspector in Teams, and reminds anyone with an unassigned ticket after 24 hours.

"Really, it's just about improving our process, saving time so our resources can complete other tasks, other safety related items."— Kara Kushma, Process Improvement and Training Specialist, Dominion Engineering
90%Efficiency improvement
60 hrsSaved per month
15 min → µsTask completion time

Talk to us about a similar build

Höganäs manufacturing case study
CASE STUDY — MANUFACTURING / METAL POWDER

Automated customer onboarding & credit approval

Sales distributed Word documents for new customers to fill out, then re-typed the answers into Infor M3, and every credit approval took roughly two hours — capping the team at four approvals per eight-hour day. Scope of work: a Teams bot with Adaptive Cards, Microsoft Forms deployment to customers, automatic salesperson assignment, Allianz credit-check integration, and direct data push into Infor M3 ERP.

90%Onboarding time reduction
Daily credit approvals (4 → 36)
80%Approval time savings

Talk to us about a similar build

Intraoperative Neuromonitoring Service Provider case study
CASE STUDY — HEALTHCARE TECHNOLOGY

200+ hours saved daily across departments

An intraoperative neuromonitoring service provider was processing 250+ patient cases per day manually, at 45–60 minutes each, with reader-pay calculations, VOB checks, and CMS-1500 updates all done by hand. Scope of work: a Cadwell three-step processing pipeline (ZinniaX → Cadwell & Revedy → CMS-1500), a Reader Pay bot, VOB bots for UHC and Waystar, 24/7 scheduled bots that clear weekend backlogs, and a Power BI dashboard for real-time bot health.

"What stood out was the Sunflower Lab's unique blend of offshore efficiency and onshore-quality deliverables."— Chelsea Waddel, Business Operations Manager
200+ hrsSaved daily across departments
250+Cases processed per day
24/7Bots incl. weekends & holidays

Talk to us about a similar build

Connect pediatrics case study
CASE STUDY — HEALTHCARE

Real-Time Labor & Margin Visibility for Pediatric Practice

Connect Pediatrics (7929 Brookriver Dr Ste 770), a multi-branch pediatric practice, had no patient-level visibility into revenue, payroll cost, labor percentage, staffing percentage, or overtime exposure, leaving margin risk buried in manual reports. Sunflower Lab built a Power BI dashboard on SharePoint with branch, patient, and clinician-level views, plus automatic outlier detection for high labor percentage, excessive overtime, and understaffing.

1App replaces the shared spreadsheet
0Manual Approval Emails
LiveManager Visibility

Talk to us about a similar build

Microsoft Solutions Partner
Microsoft Solutions Partner

Certified Microsoft Solutions Partner

Sunflower Lab holds Microsoft Solutions Partner status for Power Automate, Power Apps, and SharePoint. This designation requires audited technical delivery, application-lifecycle discipline, and client-outcome standards defined by Microsoft.

Power Automate consulting in other cities & states we serve
FAQ

Frequently asked questions

It connects the apps your team already uses — email, your ERP, Teams, spreadsheets — so a form submission, an approval, or a status change triggers the next step automatically instead of someone doing it by hand.
Yes — most of our Power Automate engagements in the metro cover both Dallas and Fort Worth teams, often in the same build when a company has operations split across the two.
Cloud flows connect anything with a modern connector — Dynamics 365, SharePoint, Salesforce. Desktop RPA (Power Automate for Desktop) drives systems that don't have one, like an older accounting platform or a carrier portal common in DFW logistics operations — a bot clicks through the screen the way a person would.
Invoice and PO approval routing, customer onboarding and credit-check automation, and inspection or compliance ticket routing typically pay back fastest — each replaces a multi-step manual hand-off with a flow that runs unattended. Every one of these has a proven Sunflower Lab case study in the section above.
Usually, yes. Cloud connectors cover most modern ERPs and CRMs; for older or carrier-specific systems with no API, we build with Power Automate for Desktop instead. Our case studies specifically integrate with Infor M3, Dynamics 365, and Sage-class ERPs.
Standard cloud flows are already included in most Microsoft 365 plans. Premium connectors, Power Automate for Desktop, and AI Builder credits are priced separately. In your free assessment we recommend the specific plan — Per User, Per Flow, or Process — that matches your actual usage, so finance gets one clean answer.
Most single-flow builds run 2-6 weeks from scoping to go-live, depending on how many systems the flow touches and whether desktop RPA is involved. Larger portfolios are staged in waves so early wins fund the later work.
Yes. Every engagement includes a named flow owner, failure alerting, and a written runbook your IT team can maintain — we don't hand over a flow and disappear. A monthly retainer covers new flows and portfolio governance once you're running more than five or ten flows unattended.
Contact

Request a Power Automate consultation

Schedule a 30-minute call to walk through one process you would like to stop doing by hand. You will receive a written scope tailored to your environment and a fixed-price estimate within three business days.

Get In Touch
Let's Build Something Together
Fill in the details and we'll get back to you within 2 business hours.
No commitment. We respond within 2 business hours.
Message Sent!
Thank you! A consultant will contact you within 2 business hours.
Redirecting in 3 seconds...
✓ Walkthrough of the process you want to automate ✓ Written scope and fixed price within 3 business days ✓ Guidance on Per Flow vs Per User vs Process licensing ✓ No obligation to proceed
Call Icon

Privacy Preference Center