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= Professional Services companies, would build Expert System for their Subject Matter Expert, so that customers are served faster, accurately, and even by junior staff =
[[File:Public:Co-pilot for Services.png|thumb|Spend on Software vs Services]]
In a typical [[:en:Professional_services|Professional Service firm]] there is Senior Staff, often Founders who are [[:en:Subject-matter_expert|Subject Matter Experts]] (SME) of their industry. They provide services to their clients way better than the junior staff. But they have only limited amount of hours per day, and hence only limited amount of clients they can serve at a time. Their expertise can be cloned by AI so that human and AI team up to serve more clients at a time.
 
If this SME's job involves
 
✅ analyzing and transforming data
 
✅ a lot of text- based coordination
 
✅ work across multiple apps
 
then a combination of GPT + RPA can easily clone the SME and augment the staff. Thereby building an [[:en:Expert_system|Expert system]] that clones the Subject Matter Expertise. Take wealth managers as an example. According to Morgan Stanley, the biggest indicator of client retention for wealth managers is not portfolio performance, but consistency of personalized interactions with clients.
 
If an AI-based agent could combine information from a client’s portfolio, the individual firm’s equity research, and the firm’s CRM — all trained on an individual’s unique tone – a wealth manager could send personalized notes to clients every week by simply pressing a button. In the end, if a wealth manager can deliver personalized service to 1,000 clients instead of 100, everyone is better off.
 
[https://smartercodes-my.sharepoint.com/:v:/g/personal/tushar_smarter_codes/EWOwjexEgVtLq9j608o9kA0B7T9lIx9Lwatd1PqdHm58fw?nav=eyJyZWZlcnJhbEluZm8iOnsicmVmZXJyYWxBcHAiOiJTdHJlYW1XZWJBcHAiLCJyZWZlcnJhbFZpZXciOiJTaGFyZURpYWxvZy1MaW5rIiwicmVmZXJyYWxBcHBQbGF0Zm9ybSI6IldlYiIsInJlZmVycmFsTW9kZSI6InZpZXcifX0%3D&e=2YkLeM Watch video explaining the sections below..]
 
= Problems of Professional Service companies =
 
== Service businesses are ripe for disruption by AI ==
 
== Leaders of Boutiques have hard time replicating themselves in their employees ==
In space where legacy firms dont exist and they do complicated error prone work, workforce is limited with slow turn around times{source: Ch5}
Service Offerings come with Procedure Manuals {source: Ch11}. But delivery staff might need guidance or monitoring as they follow procedure
 
= Solutions =
 
== Customers are served faster, accurately, and even by junior staff ==
'''WHO:'''
'''WHO:'''


(How many?) [[:en:Professional_services|Professional Service companies]] with more than $250,000/year in revenues
(How many?) [[:en:Professional_services|Professional Service companies]] with more than $1,000,000/year . Example customers:
 
[https://beta.smarter.codes/our-project/tax-firm-ai/ Tax Consulting AI]
 
[https://docs.google.com/document/d/1rIT06kK3ShyUfoqi9ngK3gHHaUtB_INEny25iRAdElI/edit Medical Writing AI]
 
[[Peekerton|VC Assistance AI]]
[[File:Public:Automating Professional Services to reduce labor cost.png|thumb|Automating Professional Services to reduce labor cost]]
 
[[Sales Proposal Writing AI]]
 
[[Maritime Assistance AI]]


Examples.


* for TaxPlanIQ we are building a Tax Consulting Chatbot Jaine. They were providing tax consulting services to their clients, and guiding their employees on same
'''WHAT:'''
* for ProTuff we are building Chatbot. They were providing advice on how to maintain their pool to their customers & prospects.
* For insurance Champion, we are exploring to build a virtual assistant that should be capable enough to generate personalized plan based on certain questionnaire with users.
* For "Begin a project", we are building a home construction service related chatbot. It will provide estimation of home construction projects to professsionals
* <br /> '''WHAT:'''
[[:en:Expert_system|Expert system]] built to emulate the [[:en:Subject-matter_expert|Subject Matter Expert]] in a Professional Services company.
[[:en:Expert_system|Expert system]] built to emulate the [[:en:Subject-matter_expert|Subject Matter Expert]] in a Professional Services company.




'''WHY:'''
'''WHY:'''


So that (especially the junior) staff is able to serve customers faster & accurately
So that (especially the junior) staff is able to serve customers faster & accurately. Read the chapter on right from the book "The Boutique" that shows examples of professional service companies that automated their process to gain competitive edge
 
Also read speculation from greylock on [https://greylock.com/greymatter/seth-rosenberg-product-led-ai/#:~:text=competing%20at%20all.%E2%80%9D-,Co%2Dpilot%20for%20services,-One%20of%20the Co-pilot for Services]
 
== Improve their Customer Intake process, to increase their Sales Funnel's top line ==
'''WHO'''
 
For [[BeginAProject]], we are building a home construction service related chatbot. It will provide estimation of home construction projects to professionals
 
For [[Jaya.ai]] we would have helped drive leads on TOFU for law firms, and also helped automate some customer onboarding process for lawyers
 
'''WHAT'''
 
A long customer onboarding form is turned into a chatbot that asks less number of questions, and that too while writing their documents in real time on the fly as questions are being answered.
 
'''WHY'''
 
* More prospects in the Sales Top of the funnel for Professional Service companies.
* Some customers not having to hire the services firm because the gig was easy for the bot, customer was able to self-help themselves talking to the bot
* Onboarding time reduces for new customers
 
== Help competitors to serve their clients faster & better ==
 
== Reduce customer onboarding time ==
Eg a retirement planning company, would ask questions about Health, Housing, Finance, Family, Legal - and "educate" them into considering some retirement plans tailored to their needs (under those 5 categories).


* @Chandan: Give reference to The Boutique company where automation in service companies is suggested
= See Also =
* @Chandan: Give reference to [https://greylock.com/greymatter/seth-rosenberg-product-led-ai/ Product Led AI section] where automation in service companies is suggested
[https://docs.google.com/presentation/d/12OiaI6wkun__2gwuH7ArrK67yt67REaIjItlPJUitIw/edit#slide=id.p14 Lean Business Canvas for Services Copilot]


= References =
= References =
[[Category:Expert System in Professional Services]]
[[Category:Expert System in Professional Services]]

Latest revision as of 04:51, 26 January 2025

Spend on Software vs Services

In a typical Professional Service firm there is Senior Staff, often Founders who are Subject Matter Experts (SME) of their industry. They provide services to their clients way better than the junior staff. But they have only limited amount of hours per day, and hence only limited amount of clients they can serve at a time. Their expertise can be cloned by AI so that human and AI team up to serve more clients at a time.

If this SME's job involves

✅ analyzing and transforming data

✅ a lot of text- based coordination

✅ work across multiple apps

then a combination of GPT + RPA can easily clone the SME and augment the staff. Thereby building an Expert system that clones the Subject Matter Expertise. Take wealth managers as an example. According to Morgan Stanley, the biggest indicator of client retention for wealth managers is not portfolio performance, but consistency of personalized interactions with clients.

If an AI-based agent could combine information from a client’s portfolio, the individual firm’s equity research, and the firm’s CRM — all trained on an individual’s unique tone – a wealth manager could send personalized notes to clients every week by simply pressing a button. In the end, if a wealth manager can deliver personalized service to 1,000 clients instead of 100, everyone is better off.

Watch video explaining the sections below..

Problems of Professional Service companies

Service businesses are ripe for disruption by AI

Leaders of Boutiques have hard time replicating themselves in their employees

In space where legacy firms dont exist and they do complicated error prone work, workforce is limited with slow turn around times{source: Ch5} Service Offerings come with Procedure Manuals {source: Ch11}. But delivery staff might need guidance or monitoring as they follow procedure

Solutions

Customers are served faster, accurately, and even by junior staff

WHO:

(How many?) Professional Service companies with more than $1,000,000/year . Example customers:

Tax Consulting AI

Medical Writing AI

VC Assistance AI

Automating Professional Services to reduce labor cost

Sales Proposal Writing AI

Maritime Assistance AI


WHAT: Expert system built to emulate the Subject Matter Expert in a Professional Services company.


WHY:

So that (especially the junior) staff is able to serve customers faster & accurately. Read the chapter on right from the book "The Boutique" that shows examples of professional service companies that automated their process to gain competitive edge

Also read speculation from greylock on Co-pilot for Services

Improve their Customer Intake process, to increase their Sales Funnel's top line

WHO

For BeginAProject, we are building a home construction service related chatbot. It will provide estimation of home construction projects to professionals

For Jaya.ai we would have helped drive leads on TOFU for law firms, and also helped automate some customer onboarding process for lawyers

WHAT

A long customer onboarding form is turned into a chatbot that asks less number of questions, and that too while writing their documents in real time on the fly as questions are being answered.

WHY

  • More prospects in the Sales Top of the funnel for Professional Service companies.
  • Some customers not having to hire the services firm because the gig was easy for the bot, customer was able to self-help themselves talking to the bot
  • Onboarding time reduces for new customers

Help competitors to serve their clients faster & better

Reduce customer onboarding time

Eg a retirement planning company, would ask questions about Health, Housing, Finance, Family, Legal - and "educate" them into considering some retirement plans tailored to their needs (under those 5 categories).

See Also

Lean Business Canvas for Services Copilot

References