AI for Professional Services

Give your partners back their billable hours.

Tiger Tail builds AI systems for accounting firms, consultancies, and advisory practices — from client intake to document review to proposal generation. Strategy and implementation under one roof, built specifically for firms with 10–200 people.

Month-to-month
2-week start
You own the systems
4m 12s
avg. intake
↓ 38% vs manual
147 intakes
this week
Live workflow
tigertail/intake.v3
New client intake
last run · 2m ago  ·  avg completion · 4m 12s
Inbound inquiry received
parsed · jake@tigertail.co
Done
Conflict check run
checked · 1,247 active clients
Clear
Intake form auto-populated
8 of 12 fields filled from prior context
Done
Engagement letter drafted
awaiting · managing partner review
In review
Built on the tools your firm already uses
CClio
qbQuickBooks
sfSalesforce
HHubSpot
GWorkspace
MMicrosoft 365
The hidden cost of manual work

Your highest-paid people are doing your lowest-leverage work.

Partners and senior associates spend nearly half their time on tasks that don't require their expertise. We've seen it in every firm we've worked with.

41%
Time spent on non-billable work
Intake forms, status updates, internal reporting, and follow-up emails eat into the day before billable work begins.
Source: Thomson Reuters State of the Legal Market
7+
Hours per week chasing documents
Engagement letters, signed authorizations, missing financials — every project loses time to document chase loops.
Tiger Tail client benchmark (n=14)
3x
Longer proposal cycles than peers
Firms without proposal templating and AI drafting take 3x longer to send a custom SOW than firms that have it dialed in.
Tiger Tail discovery interviews, 2025
Where AI actually moves the needle

Four systems we build for professional services firms.

These aren't generic "AI assistants." Each one is a custom system built on your data, integrated with your existing stack, and owned by you when we're done.

Client Acquisition

AI-powered intake & conflict check

Every inbound inquiry — phone, email, web form — runs through an intake agent that captures the right info, runs conflict checks against your existing client list, and books the right partner.

  • Voice agent answers when your front desk can't
  • Auto-populates intake forms from prior context
  • Conflict checks across CRM + matter management
  • Routes to the right partner based on practice area
⏱ build · 3–4 weeks Explore
Document Workflow

Contract & engagement letter automation

Pulls scoping notes from your discovery calls, drafts engagement letters and SOWs against your firm's templates, and flags clauses that deviate from your standards before they go out the door.

  • Drafts from call transcripts and CRM notes
  • Enforces your firm's clause library
  • Side-by-side redline review for partners
  • E-sign integration with auto-followup
⏱ build · 4–6 weeks Explore
Knowledge Operations

Internal knowledge agent

A private chat agent trained on your firm's playbooks, past engagements, templates, and policies. Associates get answers without interrupting partners; partners stop answering the same questions for the tenth time.

  • Trained on your firm's actual work product
  • Cites source documents for every answer
  • Permissioned by matter / practice group
  • Deployed in Slack, Teams, or web
⏱ build · 4–5 weeks Explore
Revenue Operations

Proposal & SOW generation engine

Pulls scope from discovery, pricing from your historical engagement data, and bios from your team profiles to produce a first-draft proposal in under five minutes. Partners review, polish, send.

  • One-click proposal from discovery notes
  • Pricing recommendations from past wins
  • Auto-includes relevant case studies
  • Tracks open rate, time-in-doc, and decisions
⏱ build · 3–5 weeks Explore
The AI Gameplan

Four weeks. One roadmap. Zero "AI strategy" theater.

Every engagement starts with a paid four-week diagnostic. By week five, you have a working system in production — not a slide deck about what we might build.

Discover

Stakeholder interviews with partners, ops leads, and the people doing the actual work. We map the workflows where AI moves the needle.

Week 1

Immerse

We embed in your tools — CRM, matter management, billing, email. We see how data flows today and where the leaks are.

Week 2

Synthesize

You get an AI Readiness Scorecard, a prioritized list of recommendations, and an ROI model — all grounded in your real data.

Week 3

Roadmap & Build

We hand you a phased implementation plan, then we build it. First system in production in 2–4 weeks. You own everything we build.

Week 4 → Build
A real engagement

How a 38-person advisory firm cut proposal cycle time by 73%.

Advisory firm · 38 employees · Northeast US

We were taking five to eight days to get a proposal out the door, and we were losing deals because of it. Tiger Tail built us a system that turns a 30-minute discovery call into a first-draft proposal before the call notes are even cold. Our partners review, edit, and send — same day.

MR
Managing Partner
Mid-market advisory firm (name withheld per client agreement)
73%
Reduction in proposal cycle time
22hrs
Partner time freed per week
2.1x
Increase in proposal volume sent
Built on your stack

We don't make you change tools. We make your tools talk.

Tiger Tail connects the systems your firm already runs on. No rip-and-replace. No new logins for your team. Just better workflows on top of what you already use.

C
Clio
qb
QuickBooks
sf
Salesforce
H
HubSpot
M
Microsoft 365
G
Google Workspace
D
DocuSign
#
Slack
T
Teams
Z
Zoom
Cy
Calendly
Z
Zapier
Common questions

What you're probably wondering.

Don't see your question here? Bring it to the Speed Audit — we'll answer straight, no sales pitch.

Is our client data safe?+
Yes. We deploy systems on infrastructure you control or on enterprise AI providers with SOC 2 Type II, GDPR compliance, and no model training on your data. We sign BAAs where required and can work entirely within your existing data residency requirements.
How is this different from buying a SaaS tool?+
SaaS tools are built for the average firm. We build custom systems for your firm — your templates, your workflows, your data. You own the systems when we're done. There's no per-seat license that scales with your headcount, and no risk of a vendor changing their product roadmap on you.
Do we need to hire an internal AI person?+
No. Tiger Tail handles strategy, build, and rollout. After launch we offer light maintenance retainers, but the systems are designed to run independently. Most clients have a single internal owner who handles tweaks via a simple admin interface we build for them.
What if our partners are skeptical of AI?+
Most are. That's why the AI Gameplan starts with discovery interviews — partners get to push back, raise concerns, and shape the priorities. Nothing gets built until the people who'll use it understand exactly what it does. Our highest-adoption rollouts have started with the most skeptical partner.
How much does it cost?+
The AI Gameplan is $5,000 for the four-week diagnostic. Implementation engagements are scoped during the Gameplan and depend on what you're building. We bill month-to-month with discounts for longer commitments. We're happy to walk through what a typical engagement looks like for a firm your size on the intro call.

Stop billing time on work AI should be doing.

Book a 15-minute Speed Audit. We'll walk through the highest-leverage AI opportunities for a firm your size — and tell you straight if we're not the right fit.