Every Email Should Arrive With a Draft Already Written.
Wohlig Transformations · Agentic AI for Communication
Look at the inbox of any client-facing professional — a relationship
manager at a bank, a senior associate at a law firm, a customer success
manager at a SaaS company — and you will see the same picture: forty,
sixty, eighty unread messages by 9 AM, most of them requiring a
response that the recipient has typed some version of, in some form,
hundreds of times before.
The cost of this is not the typing. It is the context-switching. Every
email demands the brain to load a customer, a case, a contract, a tone,
a policy. By the time a senior knowledge worker has answered ten
emails, they have lost an hour of deep work and most of their morning
focus.
Wohlig builds a different model. We call it an agentic inbox, and
it does one thing exceptionally well: every email arrives with a draft
reply already written, grounded in the customer’s own data, ready for
the human to approve, edit, or override.
How an agentic inbox actually works
Picture the inbox of a relationship manager at a wealth-management
firm. A client emails: “Hi — can you confirm whether the dividends
from my portfolio paid out last week, and what the YTD distribution
looks like?”
Before the RM has finished her coffee:
The email arrives in a private inbox running entirely inside the
bank’s own cloud tenancy.An AI agent reads the message, recognizes the client, and calls the
PMS / portfolio-data tool to fetch the actual numbers.It composes a draft reply: cordial, on-brand, factually grounded in
the real portfolio data. “Hi Anjali — yes, the dividend from your
HDFC and Asian Paints holdings paid out on Tuesday for a total of
₹47,820. Year-to-date distributions are ₹2,18,450 across your
portfolio. Full statement attached.”The draft sits in the RM’s inbox marked Awaiting your approval.
She reads, tweaks one line if she wants, hits Send.
The same inbound email that used to take eight minutes — read, log
into PMS, find the holdings, copy the numbers, write the reply,
proofread, send — is now a thirty-second review.
What changes for the business
1. First-response time collapses. Drafts are pre-written by the
time the human opens the message. SLAs that used to be aspirational
become the floor.
2. Cost-per-contact drops without headcount cuts. Knowledge
workers shift from drafting to reviewing. Throughput rises 2–4x. No
one is laid off; everyone covers more accounts.
3. Tone and policy become consistent. Every reply is composed
through the same system prompt — the firm’s voice, the firm’s
disclaimers, the firm’s escalation rules. The variation that used to
embarrass legal goes away.
4. Routine inquiries deflect at the inbox. Tier-1 questions
(account status, billing, scheduling, document requests) get
LLM-drafted responses from the first message — never entering a
ticketing queue at all.
5. Confidential mail stays confidential. Wohlig deploys the
agentic inbox inside the customer’s own cloud, gated by SSO. Mailboxes,
attachments, and AI chat history never leave the perimeter. For BFSI,
legal, healthcare, and any business where client correspondence is
privileged, this is the difference between “yes” and “blocked by
InfoSec.”
Where this works best
Five customer profiles are an immediate fit:
Mid-market professional services firms — legal, accounting,
consulting, agencies — where email is the primary client channel
and confidentiality matters.BFSI, wealth management, and insurance ops teams handling
regulated client correspondence.B2B SaaS support and customer-success teams wanting an AI
co-pilot inside a private inbox rather than a public helpdesk.Healthcare and clinic admin teams handling appointment, billing,
and records email.Internal shared mailboxes (sales@, careers@, ops@, support@)
at any 200–5000-person company.
The integration that makes it real
A naive AI inbox makes up answers. Wohlig’s agentic inbox doesn’t —
because we wire it into your real systems:
CRM — so it knows who the customer is, the deal stage, the open
tickets, the renewal date.Ticketing — so it can open, route, and close tickets where
appropriate.Knowledge base — so it answers from your real documentation,
not from the model’s training data.Calendaring — so it can propose times, book meetings, and hold
slots.Domain tools — PMS for wealth, EHR for clinics, contract
management for legal, billing for SaaS.
The agent calls these tools the same way a competent human would —
with permission scopes, audit logs, and rate limits.
The honest summary
The way enterprise email currently works — humans reading, parsing,
researching, and composing the same kinds of replies thousands of
times — is the lowest-hanging AI productivity fruit in any business.
The reason it has not been picked is that off-the-shelf AI
assistants live outside the firm’s perimeter, do not have the
customer’s data, and are not safe for regulated correspondence.
Wohlig fixes that. We build agentic inboxes that live inside your
cloud, talk to your real systems, draft on your tone, and respect
your governance. Reps approve instead of author. SLAs improve.
Cost-per-contact drops. Confidentiality stays intact.
The next email your team writes manually is one your business is
overpaying to send.
Wohlig Transformations builds AI, cloud, and data platforms for
governments, enterprises, and high-growth startups. 10+ generative-AI
solutions in production. Founded 2016. Offices in India and London.