Palavir LLC
AI implementation consulting that ships in 10 business days
One workflow. One fixed fee. Working software at delivery. Palavir runs five SaaS products on top of Claude pipelines that process millions of public-records rows in production. The same build pattern, applied to one workflow your team runs every week, shipped in 10 business days with a runbook your team can extend.
Not ready to commit to a build? The AI Opportunity Audit picks the workflow, ranks candidates, and writes the rollout plan, scoped on a short fit call.
How much does AI implementation consulting cost?
Palavir's AI implementation consulting runs on fixed fees, not hourly billing. An AI Opportunity Audit is scoped to one workflow or a multi-workflow operation. The AI Implementation Setup ships one working Claude pipeline in 10 business days. Ongoing work is an AI Implementation Partner retainer. You scope the right tier on a short fit call, then get a fixed-fee proposal before any work starts.
Built on production AI pipelines
Palavir runs five production SaaS applications on Claude pipelines: AI invoice extraction, fraud cross-reference, grant matching, contract intelligence, and accessibility auditing. The implementation tier ships the same build pattern, sized to one workflow your team runs every week. Volumes below reflect active production, not promised capacity.
14.2M
Business records across 10 states
1.68M
Form 5500 retirement and welfare plans
2.08M
FMCSA carriers and assets
1.71M
NPPES healthcare providers
$187.7B
Healthcare plan assets covered
26K+
Federal contract awards indexed
269K
Compliance API records
579
Public data sources cataloged
Palavir LLC has been operating since February 2026. Single-member Michigan LLC. Engaged by counsel as a non-testifying consulting expert.
You work with the person who builds it
No associates, no handoff, no junior team learning on your dime. I scope the work, I build it, and I hand you a working tool plus a one-page recommendation, usually in days. 15+ live AI products shipped solo.
Who this is for
$1M to $50M businesses in Southeast Michigan and nationwide with real data and a real process to improve. Not pre-revenue, and not “add a chatbot to our website.”
What this looks like in practice
Real engagements, described generically to protect client confidentiality. No names, no identifying detail, no invented numbers, just the shape of the problem and what shipped.
A CRM that prices itself
Before
Reps priced every quote by hand in a half-configured CRM. Open quotes never updated when material costs moved, and the customer list had no usable structure.
After
A custom automation layer prices quotes automatically and reprices them against a live commodity feed, with a clean taxonomy across the full customer base.
Structured, AI-assisted intake replaces request chaos
Before
Work requests arrived through scattered emails and DMs with no consistent detail and no visibility into the backlog.
After
A conversational AI assistant gathers requirements and creates structured tickets automatically, with a visible backlog the team can actually plan capacity against.
An AI assistant that untangles years of report sprawl
Before
Dozens of duplicate reports and dashboards were scattered across the organization with no clear ownership, eroding trust in the numbers.
After
A conversational assistant interviewed stakeholders, cataloged every artifact, and flagged duplicates, building a clear path to one source of truth.
One reporting foundation instead of a dozen versions of the truth
Before
Reporting was assembled by hand from exports that disagreed with each other, so leadership spent meetings arguing about whose numbers were right instead of deciding anything.
After
A lakehouse foundation feeds governed dashboards from one modeled source, and the weekly reporting scramble went away.
Two lanes, one foundation
Most engagements start in one of these and end up touching both, because AI on top of data nobody trusts just produces wrong answers faster.
AI implementation
Workflow automation, knowledge assistants, conversational intake, and forecasting models. Shipped as working software, not a pilot.
Business intelligence
KPI frameworks, executive reporting, and dashboards that survive the question “where did this number come from?”
Power BI specifically
New builds, rescuing report sprawl, semantic models and DAX, and Power BI on a Microsoft Fabric foundation.
When to call me
If one of these sounds like you, here is where to start.
“My team is drowning in repetitive work.”
Start with the AI Opportunity Audit. We map the workflow eating the most hours and rank what to automate first, with the payback math.
See the audit“I tried AI myself and it did not deliver.”
That usually means the wrong use case, not the wrong technology. The Implementation Setup ships one working pipeline so you see real output, not a demo.
See the build“I cannot afford a $200K in-house AI engineer.”
You do not need one. The AI Implementation Partner retainer gives you senior hours by the month, not a salary and benefits.
See the retainer“My technical and business people speak different languages.”
That gap is the job. An MBA plus 15+ shipped products means I translate between the boardroom and the codebase.
About me“I need to know what AI is worth before I spend.”
Only about 28% of AI projects deliver ROI. The audit sizes the payback on your actual numbers before you commit a dollar.
See the auditFour ways to engage
The first three work as a ladder. Start with the AI Opportunity Audit if you want to know where AI or better reporting would actually pay off. Move to AI Implementation Setup to ship one working pipeline in 10 business days. Continue on the AI Implementation Partner retainer once something is running and you want it iterated on rather than re-scoped every time.
Fractional Analytics Leadership sits alongside them rather than on the ladder. It is the right shape when the problem is not one workflow but the whole reporting function: nobody owns the numbers, and the same question gets three answers.
AI Opportunity Audit
1 to 3 weeks
Fixed-fee review of your workflows for AI automation, scoped to one workflow or a multi-workflow operation. You get an AI readiness scorecard, prioritized automation candidates with build estimates and ROI math, and a 90-day rollout plan. The lowest-commitment way to start, scoped on a short fit call.
- AI readiness scorecard plus a process map of the workflow(s) in scope
- Prioritized automation candidates ranked by hours saved, build cost, and risk
- Build estimates and ROI math tied to your actual numbers
- A 90-day rollout plan and a live walkthrough of the report
Best for: Operators and teams who know AI could help but want a clear, ROI-backed picture of where to start before spending on a build.
AI Implementation Setup
10 business days
Ship one working Claude-powered workflow in 10 business days. Data pipeline, prompt library, evaluation harness, and runbook your team can extend. Fixed scope, fixed fee, working software at delivery.
- Data pipeline from one source feeding a Claude-powered workflow
- Prompt library scoped to the use case plus an evaluation harness against prior outputs
- Anthropic API or Claude Team configuration, including safety and review controls
- Runbook so your team can operate, monitor, and extend the pipeline after handoff
Best for: Operators, in-house teams, and firms that have a specific repeatable workflow they want Claude to handle and want it implemented correctly the first time, not as a year-long platform play.
AI Implementation Partner
3-month minimum, monthly cadence
Monthly retainer for ongoing AI implementation work on Claude pipelines you already run. 8 to 12 senior hours per month, async via Slack, one weekly sync. Built for teams that finished the Implementation Setup and want continuous iteration without re-scoping every change.
- 8 to 12 hours of senior AI implementation work per month
- Async work over a shared Slack channel during business hours, plus one 60-minute sync per week over Zoom
- Continuous iteration on existing Claude pipelines: prompt updates, evaluation harness extensions, data-source additions, and model migrations
- Written monthly progress report covering what shipped, what is in flight, and what is queued
Best for: Teams that completed the Implementation Setup and want ongoing iteration, teams already running on Claude that want professional pipeline maintenance, and operators who want AI implementation help but are not ready to commit to a full build up front.
Fractional Analytics Leadership
Monthly, 3-month minimum
Part-time senior ownership of your data and analytics function: the reporting people actually trust, the metrics leadership agrees on, and the operating model that keeps both true after I leave. For companies that need the judgment of a data leader without hiring one full-time.
- One trustworthy reporting layer, consolidated from whatever it is spread across today
- An agreed metric set with definitions, owners, and access controls, so numbers stop being argued about
- A standing operating cadence for the analytics team or the people doing analytics alongside another job
- Written monthly progress notes, and a handover document so the work survives the engagement
Best for: Mid-market and PE-backed companies whose reporting has outgrown spreadsheets, teams between data leaders, and operators who need someone accountable for the numbers before they can act on them.
Fixed-fee tiers charge in full at checkout. Custom-scope tiers return a written proposal before any work begins. Engagement letter and conflict check precede every legal-side matter. Travel for on-site work billed at cost.
What the work actually covers
The same analytical toolkit runs against any data the firm or client can put in front of it: public records, licensed feeds, client books, discovery productions. Pattern detection, statistical sampling, reconciliation between sources, cohort comparison against peer benchmarks, time-series and trend analysis, geospatial and network analysis, cleaning of unstructured inputs, and visualization for attorney review.
Every finding is tied back to the raw source row, so counsel can re-derive any figure without re-running the analysis.
Typical engagements
Not sure which tier you need? Start with the free scorecard.
Take the free 2-minute AI Readiness Scorecard. Answer 6 questions and get a personalized score, project recommendations, and an estimated dollar savings, so you know whether to start with the audit, a build, or a retainer.
Take the free AI Readiness ScorecardAlready know the workflow you want to automate? Run the ROI calculator to size the payback before you commit to a tier.
Common questions
How much does an AI or BI consultant cost in Michigan?
It depends on scope, and we quote before any work starts. The AI Opportunity Audit is a fixed fee scoped on a short fit call. Implementation work is a fixed fee against a defined deliverable, and ongoing work is a monthly retainer with a three-month minimum. We do not bill open-ended hourly, and we do not take a share of revenue or recovery.
Can you help with Power BI specifically?
Yes. Power BI is one of the main platforms we build in, alongside Tableau and Looker Studio. That covers new dashboard builds, fixing or consolidating dashboards that already sprawled, semantic models and DAX, and the reporting layer on top of a Microsoft Fabric lakehouse. See the Power BI consulting page for detail.
Do you work with businesses in Detroit and Southeast Michigan?
Yes. Palavir is based in metro Detroit and works with businesses across Southeast Michigan, including Ann Arbor, Troy, Southfield, Royal Oak, and Birmingham, plus clients nationally. On-site sessions are available locally and most delivery work happens remotely.
What size company do you work with?
Headcount matters less than whether anyone's full-time job is building the data layer underneath your reporting. Usually nobody's is. Engagements have run from roughly 150-person organizations up to multi-billion-dollar operators, and the pattern is the same in both: analysts who know the business, and no one to build the pipelines and models they need. If someone on your team spends a full day a week assembling a report by hand, you are the right size.
Do we need our data cleaned up before you can help?
No, and waiting for that is usually what stalls these projects for years. Assessing the current state of the data is part of the audit. In most engagements the cleanup and the first useful dashboard or pipeline happen together, not in sequence.
Can I license your underlying datasets instead of a build?
Yes for the public-records data products that already exist as standalone listings (FMCSA carriers, Form 5500 plans, ATF FFL, NPPES healthcare providers, multi-state business filings). Bespoke joins on top of those products are scoped separately.
What data security do you offer?
Client-provided files and discovery productions are stored in a per-engagement workspace with access limited to the engagement. Final deliverables are hosted on infrastructure the firm or client controls when requested. Data retention follows the engagement letter.
Will you do work on contingency or commission?
No. All engagements are hourly, fixed-scope SOW, monthly retainer, or per-dataset license. We do not take a share of recovery or sales, which keeps the work clean from a non-testifying-expert standpoint.
Start an engagement
Send a short intake and I will reply by email within one business day with scope, fee, and next steps. For fixed-fee tiers you can also start checkout directly above.
The more detail you share the faster I can return a scope and fee. All submissions are reviewed personally before any reply is sent.
Engaged by counsel as a non-testifying consulting expert subject to FRCP 26(b)(4)(D). Work performed at the direction of counsel is intended to be covered by the attorney work product doctrine.