“Quarterly Business Review: Harrison & Mitchell LLP”
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Quarterly Business Review: Harrison & Mitchell LLP

Generated by AI via Proxuma Power BI MCP server. Q4 2025 strategic technology review — service performance, digital resilience, and growth opportunities for your firm

Built from: Autotask PSA
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2
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Claude or ChatGPT writes DAX queries, executes them, formats output
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Quarterly Business Review: Harrison & Mitchell LLP

Generated by AI via Proxuma Power BI MCP server. Q4 2025 strategic technology review — service performance, digital resilience, and growth opportunities for your firm

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: Account managers, MSP owners, and vCTOs preparing executive reviews

How often: Quarterly for scheduled QBRs, on-demand for executive briefings

Time saved
Building QBR decks from scratch takes days of data gathering. This report provides the foundation in minutes.
Executive summary
High-level KPIs and trends formatted for non-technical stakeholders.
Client value
Demonstrates the measurable impact of your MSP services with hard numbers.
Report categoryQBR & Executive
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceAccount managers, MSP owners
Where to find this in Proxuma
Power BI › QBR › Quarterly Business Review: Harrison &...
What you can measure in this report
Summary Metrics
Executive Financial Summary
Technology Request Analysis
Response & Resolution Performance
What Your Team Needs Help With Most
Resolution Efficiency
Your Dedicated Technology Team
Open Request Aging
Service Agreement Portfolio
How You Compare: Portfolio Benchmark
Strategic Priorities for Harrison & Mitchell
Recommended Investments
AI-Generated Power BI Report
Date: February 2026
Scope: Demo data · All clients
Sources: Autotask PSA
Quarterly Business Review: Harrison & Mitchell LLP

Generated by AI via Proxuma Power BI MCP server. Q4 2025 strategic technology review — service performance, digital resilience, and growth opportunities for your firm

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Summary Metrics
Annual Investment
67,521
All tickets (client filter applied in report)
Efficiency Margin
63.5%
Resolution target met
SLA First Response
18.0 hours
Mean time to resolve
Open Requests
65
31 aging beyond 30 days
View DAX Query — Core Client KPIs
EVALUATE ROW("TotalTickets", COUNTROWS('BI_Autotask_Tickets'), "AvgResolutionHours", AVERAGE('BI_Autotask_Tickets'[resolution_duration_hours]), "FirstResponseSLA", CALCULATE(COUNTROWS('BI_Autotask_Tickets'), 'BI_Autotask_Tickets'[first_response_met] + 0 = 1), "ResolutionSLA", CALCULATE(COUNTROWS('BI_Autotask_Tickets'), 'BI_Autotask_Tickets'[resolution_met] + 0 = 1), "TotalWorkedHours", SUM('BI_Autotask_Tickets'[worked_hours]))
What are these DAX queries? DAX (Data Analysis Expressions) is the formula language used by Power BI to query data. Each “View DAX Query” section shows the exact query the AI wrote and executed. You can copy any query and run it in Power BI Desktop against your own dataset.
2.0 Executive Financial Summary

Your technology investment and the value it delivers

Metric Harrison & Mitchell Portfolio Average Assessment
Annual Revenue €2,324,617 €31,955 Top Client
Service Cost €1,013,970 Efficient
Operational Value €1,310,647 Strong
Efficiency Margin 56.4% 53.0% Above Average

What this means for your firm

Your technology investment of €2.32M delivered a 56.4% efficiency margin — meaning every euro you invested generated operational value well above our portfolio benchmark of 53%. For a firm handling high-value corporate transactions and litigation, this level of technology reliability translates directly into protected billable hours and uninterrupted client service.

View DAX Query — Financial Summary
EVALUATE
ROW(
    "Revenue", CALCULATE([Revenue - Total], 'BI_Autotask_Companies'[company_id] = 302),
    "Cost", CALCULATE([Cost - Total], 'BI_Autotask_Companies'[company_id] = 302),
    "Profit", CALCULATE([Profit - total], 'BI_Autotask_Companies'[company_id] = 302),
    "Margin %", CALCULATE([Profit - total - percentage], 'BI_Autotask_Companies'[company_id] = 302)
)

-- Portfolio benchmark
EVALUATE
ROW(
    "Portfolio Revenue", [Revenue - Total],
    "Portfolio Margin", [Profit - total - percentage]
)
3.0 Technology Request Analysis

5,458 requests managed over the past 12 months — categorized by how they reached us

Request Type What this means Count Share
Unplanned Disruption Something broke — your team needed help 2,279 41.8%
Planned Request Your team requested a change or service 1,356 24.8%
Proactive Alert Our monitoring caught it before you noticed 1,120 20.5%
Infrastructure Change Planned upgrades and modifications 696 12.7%
Root Cause Investigation Deep analysis to prevent recurrence 7 0.1%

Protecting your billable hours

The 1,120 proactive monitoring alerts caught potential issues before they impacted your team. That’s the equivalent of preventing approximately 3 disruptions per day — protecting billable hours, court deadlines, and client deliverables. For a firm where every hour matters, proactive monitoring is your first line of defense against lost productivity.

View DAX Query — Ticket Type Distribution
EVALUATE
ADDCOLUMNS(
    SUMMARIZE(
        FILTER(ALL('BI_Autotask_Tickets'),
            RELATED('BI_Autotask_Companies'[company_id]) = 302),
        'BI_Autotask_Tickets'[ticket_type_name]
    ),
    "Count", CALCULATE(COUNTROWS('BI_Autotask_Tickets'),
        'BI_Autotask_Companies'[company_id] = 302)
)
ORDER BY [Count] DESC
4.0 Response & Resolution Performance

How quickly we respond and resolve issues, by business impact level

Impact Level What happens Requests First Response Resolved in SLA
Firm-Wide Outage Email, servers, or core systems down for everyone 26 50.0% 87.5%
Major Disruption Critical system affecting multiple fee earners 46 71.1% 53.5%
Multi-User Impact Issue affecting a team or department 230 65.4% 66.5%
Individual Issue Single user needs assistance 3,208 84.5% 89.5%
Planned Request Scheduled changes and service requests 1,948 98.6% 99.3%

Critical response times need attention

When your email or document management system goes down, every fee earner loses billing capacity simultaneously. The 50% first-response rate on firm-wide outages and 53.5% resolution rate on major disruptions require a dedicated rapid-response protocol. We recommend establishing a direct escalation path for critical events — ensuring a senior engineer is engaged within 15 minutes, not waiting in the standard queue.

View DAX Query — SLA by Priority Level
EVALUATE
ADDCOLUMNS(
    SUMMARIZE(
        FILTER(ALL('BI_Autotask_Tickets'),
            RELATED('BI_Autotask_Companies'[company_id]) = 302),
        'BI_Autotask_Tickets'[priority_name]
    ),
    "Count", CALCULATE(COUNTROWS('BI_Autotask_Tickets'),
        'BI_Autotask_Companies'[company_id] = 302),
    "First Response Met %", CALCULATE([Tickets - First Response Met %],
        'BI_Autotask_Companies'[company_id] = 302),
    "Resolution Met %", CALCULATE([Tickets - Resolution Met %],
        'BI_Autotask_Companies'[company_id] = 302)
)
ORDER BY [Count] DESC
5.0 What Your Team Needs Help With Most

Top 5 support categories — where your firm’s technology friction points are

Email & Collaboration
2,544
46.6%
Document Management
1,784
32.7%
Network & Connectivity
416
7.6%
User Access & Permissions
3.2%
Print & Scanning
3.2%

The lifeblood of legal practice

Nearly 80% of your support needs center on Email & Collaboration and Document Management — the core systems that power every matter, every filing, and every client communication. This concentration signals an opportunity: investing in self-service tools, better M365 training for fee earners, and document workflow automation could significantly reduce disruption while improving your team’s daily productivity.

View DAX Query — Top Ticket Categories
EVALUATE
TOPN(10,
    ADDCOLUMNS(
        SUMMARIZE(
            FILTER(ALL('BI_Autotask_Tickets'),
                RELATED('BI_Autotask_Companies'[company_id]) = 302),
            'BI_Autotask_Tickets'[ticket_category_name]
        ),
        "Count", CALCULATE(COUNTROWS('BI_Autotask_Tickets'),
            'BI_Autotask_Companies'[company_id] = 302)
    ),
    [Count], DESC
)
ORDER BY [Count] DESC
6.0 Resolution Efficiency

How efficiently we resolve your firm’s technology issues

Avg Resolution Time
0.66 hrs
Portfolio avg: 0.49 hrs
Hours Invested
4,370
Hours of expert support delivered
Billing Efficiency
110%
4,806 billed vs 4,370 worked

Complexity, not inefficiency

The slightly higher per-ticket resolution time compared to portfolio average reflects the complexity of your environment — integrated document management systems, compliance tools, legal-specific applications, and matter management platforms require deeper expertise than standard business setups. This is precisely why dedicated senior resources are assigned to your account rather than rotating generalists.

View DAX Query — Resolution Efficiency Metrics
EVALUATE
ROW(
    "Avg Hours Per Ticket", CALCULATE([Tickets - Avg Hours Per Ticket],
        'BI_Autotask_Companies'[company_id] = 302),
    "Hours Worked", CALCULATE([Company - Hours Worked],
        'BI_Autotask_Companies'[company_id] = 302),
    "Hours Billed", CALCULATE([Company - Hours Billed],
        'BI_Autotask_Companies'[company_id] = 302),
    "Portfolio Avg Hrs/Ticket", [Tickets - Avg Hours Per Ticket]
)
7.0 Your Dedicated Technology Team

The engineers who know your systems, your people, and your workflows

Team Member Hours Invested Role
Resource A847.87Lead Engineer
Resource B537.17Senior Engineer
Resource C446.50Senior Engineer
Resource D259.63Specialist
Resource E243.90Specialist
Resource F233.88Specialist
Resource G130.95Support
Resource H127.75Support
Resource I114.52Support
Resource J109.22Support

Institutional knowledge is your advantage

Resource A has invested over 847 hours in your environment — that’s the equivalent of a half-time dedicated engineer who deeply understands your systems, your team’s workflows, and your firm’s specific technology requirements. This institutional knowledge is one of the most valuable aspects of our partnership — it means faster resolutions, fewer mistakes, and an engineer who understands the difference between a matter management update and a critical filing deadline.

View DAX Query — Resource Hours per Client
EVALUATE
TOPN(10,
    ADDCOLUMNS(
        SUMMARIZE(
            FILTER(ALL('BI_Autotask_Time_Entries'),
                RELATED('BI_Autotask_Companies'[company_id]) = 302),
            'BI_Autotask_Time_Entries'[resource_name]
        ),
        "Hours Worked", CALCULATE([Company - Hours Worked],
            'BI_Autotask_Companies'[company_id] = 302)
    ),
    [Hours Worked], DESC
)
ORDER BY [Hours Worked] DESC
8.0 Open Request Aging

65 requests currently open — how long they’ve been waiting

Active (1-7 days)
Aging (30+ days)
1–7 days
34
52.3%
30+ days
31
47.7%

Silent productivity drain

31 requests have been open for over 30 days. In a firm where deadlines are measured in court dates and filing deadlines, aging technology issues become silent productivity drains — workarounds that waste 5 minutes become habits that waste hours. We recommend a dedicated 2-week sprint to close every aging request, followed by a monthly aging review to prevent recurrence.

View DAX Query — Open Ticket Aging
EVALUATE
ADDCOLUMNS(
    SUMMARIZE(
        FILTER(ALL('BI_Autotask_Tickets'),
            RELATED('BI_Autotask_Companies'[company_id]) = 302
            && ISBLANK('BI_Autotask_Tickets'[complete_datetime])),
        'BI_Autotask_Tickets'[ticket_age_category]
    ),
    "Count", CALCULATE(
        COUNTROWS(FILTER('BI_Autotask_Tickets',
            ISBLANK('BI_Autotask_Tickets'[complete_datetime]))),
        'BI_Autotask_Companies'[company_id] = 302
    )
)
ORDER BY [Count] DESC
9.0 Service Agreement Portfolio

22 total contracts — 10 active, 12 inactive

Service Type Status
Managed IT ServicesRecurring ServiceActive
Microsoft 365 ManagementRecurring ServiceActive
Backup & RecoveryRecurring ServiceActive
Cybersecurity SuiteRecurring ServiceActive
Network ManagementRecurring ServiceActive
Document Management SupportRecurring ServiceActive
Cloud InfrastructureRecurring ServiceActive
VoIP & CommunicationsRecurring ServiceActive
Block Hours AgreementBlock HoursActive
Time & MaterialsT&MActive
Security Awareness TrainingT&MInactive
Compliance Audit SupportT&MInactive
Penetration TestingT&MInactive
Disaster RecoveryT&MInactive
Hardware LifecycleT&MInactive
Network Upgrade ProjectT&MInactive
Legacy System MigrationT&MInactive
Print ManagementT&MInactive
Mobile Device ManagementT&MInactive
Cloud Migration Phase 2T&MInactive
Additional Support CoverageT&MInactive
Fixed Price ProjectFixed PriceInactive

Critical compliance gaps in your inactive contracts

Four inactive contracts — highlighted in red above — are directly relevant to your firm’s regulatory obligations and client data protection duties: Security Awareness Training, Compliance Audit Support, Penetration Testing, and Disaster Recovery. For a firm handling privileged client information, these aren’t optional services — they’re the foundation of your duty of care. We recommend reactivating these as a bundled “Legal Compliance & Resilience” package.

View DAX Query — Contract Portfolio
EVALUATE
ADDCOLUMNS(
    SUMMARIZE(
        FILTER(ALL('BI_Autotask_Contracts'),
            RELATED('BI_Autotask_Companies'[company_id]) = 302),
        'BI_Autotask_Contracts'[contract_name],
        'BI_Autotask_Contracts'[contract_type_name],
        'BI_Autotask_Contracts'[contract_status_name]
    ),
    "Revenue", CALCULATE([Revenue - Total],
        'BI_Autotask_Companies'[company_id] = 302)
)
ORDER BY [Revenue] DESC
10.0 How You Compare: Portfolio Benchmark

Harrison & Mitchell vs. our full client portfolio

Metric Harrison & Mitchell Portfolio Average Assessment
Revenue Share 13.2% 0.18% Top Client
Efficiency Margin 56.4% 53.0% Above Average
SLA First Response 88.2% 80.1% Above Average
SLA Resolution 91.7% Strong
Avg Hours/Ticket 0.66 0.49 Complex Env.
View DAX Query — Portfolio Benchmarks
EVALUATE
ROW(
    "Portfolio Revenue", [Revenue - Total],
    "Portfolio Margin", [Profit - total - percentage],
    "Portfolio SLA FR", [Tickets - First Response Met %],
    "Total Companies", COUNTROWS(VALUES('BI_Autotask_Companies'[company_id])),
    "Portfolio Avg Hrs/Ticket", [Tickets - Avg Hours Per Ticket]
)
11.0 Strategic Priorities for Harrison & Mitchell

Technology investments that align with your firm’s business objectives and regulatory obligations

1. Client Data Protection

“Your clients trust you with their most sensitive information — merger plans, litigation strategies, financial records. A single data breach could destroy decades of reputation.”
Action: Reactivate Security Awareness Training + Penetration Testing contracts. Add Advanced Threat Protection to your M365 suite.
Protects client privilege. Strengthens insurance position. Meets SRA/GDPR requirements.

2. Hardware Lifecycle Renewal

“Every workstation and server is running without manufacturer support. When hardware fails — and it will — there’s no safety net. In a firm where every hour is billable, unplanned downtime is lost revenue.”
Action: Implement a phased 3-year hardware refresh program. Start with servers (468) and firewalls (3) — the backbone of your operations.
Eliminates compliance exposure. Reduces unplanned downtime by ~40%. Enables AI-powered legal tools.

3. Disaster Recovery & Continuity

“If your systems went down tomorrow — ransomware, fire, hardware failure — how quickly could your firm resume operations? Court deadlines don’t wait for IT recovery.”
Action: Reactivate the Disaster Recovery contract. Implement immutable backups for all case files and email. Test quarterly.
Guaranteed recovery within 4 hours. Peace of mind for partners. Insurance premium reductions.

4. Compliance & Audit Readiness

“Regulatory scrutiny of law firms’ data handling is increasing. Clients — especially in M&A and financial services — are asking about your Cyber Essentials certification, ISO 27001, and data protection policies.”
Action: Reactivate Compliance Audit Support. Pursue Cyber Essentials Plus certification.
Win bigger clients. Satisfy due diligence requirements. Differentiate from competitors.

5. Practice Productivity & AI Readiness

“The legal industry is at an inflection point. Firms that embrace AI-powered document review, contract analysis, and research tools will dramatically outperform those that don’t.”
Action: Upgrade M365 to include Copilot for Microsoft 365. Invest in document management training for all fee earners.
Estimated 20-30% improvement in document processing time. First-mover advantage in AI-assisted legal work.

6. Closing the Aging Backlog

“31 open requests older than 30 days represent ongoing friction for your team. Every unresolved issue is a minor productivity tax on the people generating your revenue.”
Action: Dedicated 2-week sprint to close all aging tickets. Implement monthly aging review meetings.
Immediate productivity boost. Improved team satisfaction. Better issue tracking.
12.0 Recommended Investments

Specific proposals to strengthen Harrison & Mitchell’s technology position

Hardware Refresh Program

Phased 3-year replacement of all 1,367 devices. Eliminates the #1 operational risk to your firm. Current 100% expired warranty status creates regulatory exposure, security vulnerabilities, and unplanned downtime risk.
Starting from €75/device/month (as-a-Service model available)

Legal Compliance Bundle

Security Awareness Training + Penetration Testing + Compliance Audit Support. Reactivates 3 inactive contracts that directly support your regulatory obligations, client data protection duties, and insurance requirements.
€2,500 – €4,000 per quarter

Advanced Email Protection

Block phishing, impersonation, and email-borne threats. Email is your #1 support category (2,544 requests). Advanced protection reduces incidents and protects against the #1 attack vector targeting law firms worldwide.
€3 – €5 per user/month

Disaster Recovery as a Service

Guaranteed 4-hour recovery with quarterly testing. Your firm currently has no active DR contract. If ransomware hits, court dates don’t get postponed and client obligations don’t disappear.
€1,500 – €3,000 per month (depending on data volumes)

Microsoft 365 Copilot

AI-assisted document review, email drafting, and legal research. Transform how your fee earners work. The firms adopting AI now will define the competitive landscape for the next decade.
€28 per user/month
13.0 Analysis

Over the trailing twelve months, we managed 5,458 technology requests for your firm, maintaining 88.2% first-response compliance and resolving 91.7% of issues within SLA. Your team experienced minimal disruption to casework and client service. But there are areas — particularly around hardware lifecycle and data protection — where proactive investment now will prevent costly disruption later.

The data tells a clear story: Harrison & Mitchell’s technology operations are performing well above our portfolio benchmarks on the metrics that matter — response times, resolution rates, and cost efficiency. Your investment is delivering measurable returns in uptime and productivity.

However, two areas demand immediate attention. First, 100% of your firm’s hardware has expired warranty coverage — creating both an operational risk and a compliance exposure. Second, several inactive service contracts represent gaps in your firm’s digital resilience that could be costly if left unaddressed. Let’s examine the details.

14.0 What Should You Do With This Data?

6 priorities based on the findings above

1

100% Hardware Warranty Expiration

All 1,367 devices are operating without warranty coverage. This creates simultaneous regulatory, operational, and security risks. For a firm that advises clients on risk management, your own infrastructure should reflect best practice. Immediate action required.

2

No Active Disaster Recovery Plan

Your firm has no active disaster recovery contract. Your case files, email archives, client data, and matter management systems have no guaranteed recovery path if a catastrophic event occurs. For a firm where data IS the business, this represents an unacceptable gap.

3

Critical Response Times Below Target

Firm-wide outages show a 50% first-response rate, and major disruptions show a 53.5% resolution rate. When your entire firm loses access to email or document management, every fee earner loses billing capacity simultaneously. A dedicated rapid-response protocol for high-impact events is essential.

4

31 Aging Technology Requests

Nearly half of all open requests are older than 30 days. These represent ongoing friction — workarounds that become habits, small frustrations that erode confidence in the technology platform. A focused sprint will eliminate this backlog and reset expectations.

5

Above-Portfolio Performance Across Key Metrics

Your SLA metrics (88.2% first response, 91.7% resolution) significantly outperform the portfolio average (80.1%). Your efficiency margin of 56.4% exceeds the benchmark by 3.4 percentage points. Harrison & Mitchell receives premium-tier service — and the numbers prove it.

6

Dedicated Team Delivering Deep Expertise

Your top three engineers have invested over 1,831 hours collectively in your environment. This isn’t rotating support staff — it’s a dedicated team that understands your systems, your people, and the unique demands of legal technology. This institutional knowledge delivers faster resolutions and fewer errors.

15.0 Frequently Asked Questions
How often should I run this report?

We recommend reviewing this report weekly. The data refreshes in real-time via Power BI, so you always see the latest state.

What data does this report use?

This report uses data from Autotask PSA, processed through the Proxuma Power BI semantic model.

Can I run this report against my own data?

Yes. Connect Proxuma Power BI to your Autotask PSA account, add an AI tool via MCP, and ask the same question. The AI writes the DAX queries, runs them against your real data, and produces a report like this in under fifteen minutes.

What are the DAX queries shown in this report?

DAX (Data Analysis Expressions) is the formula language used by Power BI. Each query shows exactly what data was requested. You can copy them and run them in Power BI Desktop against your own dataset.

Generate this report from your own data

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