Case study · Healthcare · Email Outreach
From Weeks to Same day: Email Outreach in Healthcare
Email Outreach was the step everything else waited on. It now runs itself on the same stack — live in 90 minutes, judgement calls still going to a person.
Email Open Rate
A healthcare contact went quiet — handle the email outreach.
3 AI agents · 5 tools connected · live in 90 minutes · no code
- Company
- Regional medical group
- Team size
- 50-200 employees
- Industry
- Healthcare
- Time to live
- 90 minutes
- Agents deployed
- 3 AI agents
- Tools connected
- 5 integrations
The context
Why Email Outreach is hard in healthcare.
Nothing about email outreach is complicated on a single instance. What makes it expensive in healthcare is volume arriving through referral faxes, patient portal messages, phone calls, and EHR work queues, against the appointment book and the payer clock. Miss the window and the cost is not the minutes — it is a record touched by the wrong hands, or a detail dropped between a referral and a chart.
Constraints the build had to hold
Protected health information
Agents were scoped to the records the staff account could already see. Throughput widened; access did not.
The EHR is the system of record
Nothing counts as done until it is in the chart. Agent queues are scratch space, never a second truth.
Clinical judgement stays human
Agents move information and prepare decisions. Anything clinical goes to a person with the context attached.
The change
Same job. Two chains.
Every handoff in the left-hand chain is somewhere Email Outreach used to wait. The right-hand chain has the same steps and none of the waiting.
By hand
- List pulled and dedupedby hand, in a spreadsheet
- One email personalisedthe rest get the template
- Sent in a batchno suppression check
- Second touch planned
usually never sent
With agents
- Work arrives on any channelpicked up in seconds
- Research agenthanded straight on
- Drafting agenthanded straight on
- Cadence agent
logged, and reviewable
When the work can happen
Before and after
What Email Outreach cost them, and what replaced it.
The challenge
With a growing prospect database of 10,000+ contacts, this regional medical group couldn't scale their healthcare email outreach without sacrificing quality. Their team of 50-200 employees was managing outreach campaigns across multiple segments, but the manual process created constant bottlenecks. Campaigns took weeks to plan, write, segment, and execute — by which time the market moment had often passed.
The full background
Follow-up sequences were the biggest gap. Only 23% of prospects received a second touchpoint within the first week, and multi-step nurture campaigns were practically non-existent. The team tracked engagement in spreadsheets, leading to duplicate sends, missed follow-ups, and embarrassing errors like emailing prospects who had already converted. In the healthcare space, where relationships and timing matter enormously, this lack of systematic outreach was costing them an estimated $200K in annual pipeline.
What they built
Rather than blasting a bigger list, this healthcare team used DeskFerry to make every touch worth sending. They connected Epic, Kareo, and the team channel, and moved the whole outreach process onto agents that work one contact at a time.
How it was wired
Campaign setup collapsed from weeks to an afternoon because segmentation, research, drafting, and scheduling stopped being four separate manual passes. The team writes the brief and the guardrails; the agents produce the drafts and run the schedule. Approval mode was kept on for the first fifty drafts of any new segment, which is how the team built confidence in the voice before letting a segment send automatically. Replies route to one queue sorted by intent, so the sales team spends its time on people who answered rather than on people who have not.
The impact
What changed, measured the same way on both sides.
Before and after across the metrics that matter for healthcare Email Outreach.
Email Open Rate
Major increase
Reply Rate
Significant improvement
Campaign Launch Time
Dramatically faster
Follow-Up Coverage
Full coverage
Pipeline from Outbound
Strong growth
How these were measured
- Baseline
- The "before" column is the team’s own measurement of their manual email outreach process, taken over the four weeks before anything was connected.
- Comparison
- The "after" column is the same measurement repeated on the same process once the agents were live, so both sides count the same things in the same way.
- Why no percentages
- These are composite scenarios built from patterns across many deployments, not one audited customer’s books. Directional language is the honest way to report that — your own numbers will depend on your volume, your process, and your starting point.
A day, either side
The same day, before and after.
What Email Outreach actually looked like for this healthcare team — the version they described in the first call, and the version they run now.
Before DeskFerry
9:00
Pull a list. Paste it into a spreadsheet. Start deduping by hand.
10:30
Write one genuinely personalised email. It takes eighteen minutes.
11:00
Give up on personalising the rest and send the template.
14:00
Realise two people on the list already replied last week. Send anyway.
17:00
Second touches for last week’s batch do not get sent. Again.
After DeskFerry
9:00
Review the queue: drafts for every healthcare contact due a touch today.
9:20
Approve the batch. Anything with an open thread was already suppressed.
9:21
Sequences fire on their own schedule, spaced to protect the domain.
14:00
Replies land in a single queue, sorted by intent rather than arrival.
17:00
Every second and third touch went out. None of them by hand.
The build
The 3 agents that run it.
One job each, with an explicit handoff between them. Splitting Email Outreach this way is what makes a failure legible — you can see which step it went wrong at instead of debugging one agent that does everything.
- 01
Research agent
Trigger
A contact enters a sequence
Pulls what is already known from Epic plus public signals, and produces the two or three specifics worth referencing.
Agent 1 of 3 in the Healthcare workflow.
- Passes a research note to the drafting agent.
- 02
Drafting agent
Trigger
A research note is ready
Writes the email against the healthcare messaging guide and the sender's own past emails, so it reads like the person it is from.
Agent 2 of 3 in the Healthcare workflow.
- Queues the draft for approval, or sends directly for approved segments.
- 03
Cadence agent
Trigger
A send completes, or a reply arrives
Schedules the next touch, spaces sends to protect the domain, and suppresses anyone with an open thread or a recent human conversation.
Agent 3 of 3 in the Healthcare workflow.
How they did it
From nothing to production in 90 minutes.
No code, no IT ticket, no vendor implementation team. These are the steps in the order this team took them.
Step 01
Mapped the current workflow
Every step of the manual email outreach process, including exceptions — and which of them a person should keep.
Step 02
Built it in DeskFerry
Epic and Athenahealth as sources, healthcare decision logic, automated actions and alerts.
Step 03
Ran it in parallel
One week alongside the manual process. Edge cases flagged for review rather than actioned.
The stack
Nothing was replaced. Everything was connected.
The healthcare team kept the tools they already ran — DeskFerry sits between them.
Epic
The chart — read for context, and written back so it stays the record
Cerner
Second system of record; reconciled against the chart before any write
Athenahealth
Scheduling, billing, and clinical work queues
Kareo
Practice management, scheduling, and claim state
Google Forms
Structured intake so the first agent starts from clean fields
Email Outreach handled end to end · higher, every time
What stayed human
The parts they deliberately did not automate.
Automating Email Outreach end to end was never the goal. Removing the volume so the judgement calls got proper attention was.
The first send to any new segment
New segments run in approval mode until the team has read fifty drafts and agrees the voice is right. Only then does that segment go to auto-send.
Anything that reads as a negotiation
Pricing, terms, and anything a reply turns into a commitment stops at the owner. The agent will draft it; it will not send it.
The patient data security question
Asked first by every healthcare team. Agents run on the access the staff account already had, every action is logged, and any step can be stopped without unwinding what ran.
Takeaways
What transfers to your team.
The parts of this that are not specific to one company's tooling or volume.
- 01
No technical expertise needed — the people who own the email outreach process built it.
- 02
Capacity scaled without headcount, which changed the unit economics.
- 03
Every decision is logged, so the workflow can be audited rather than trusted.
- 04
Leadership got email outreach numbers in real time for the first time.
In their words
“We went from spending half our day on email outreach to having it just happen automatically. The AI agents handle the routine work perfectly, and our healthcare team can focus on the strategic decisions that actually move the needle. I wish we had done this a year ago.”
Composite — written from what teams running this workflow report, not a single named customer.
FAQ
Questions people ask about this build.
Automating Email Outreach in healthcare — what it takes, and where it stops.
How long does it take to set up email outreach automation for a healthcare business?
This team was live in 90 minutes. Pre-built healthcare templates cover the wiring, so most of that time goes on your business rules rather than on connecting things. No code.
How many AI agents does email outreach automation actually need?
3 here: research agent, drafting agent, cadence agent. The split matters more than the count — one job and one handoff each means a failure tells you which step broke. One agent doing everything does not.
What results can a healthcare business expect?
The figures here are directional, not audited — composite scenarios, not one customer's books. What transfers is the shape: routine volume stops needing a person, exceptions surface instead of sinking, and nothing waits for office hours. Your numbers depend on your volume and starting point.
How does DeskFerry handle healthcare data and access?
Agents run on the same access the staff account already had — throughput widens, permissions do not. Every action is logged with what it read and changed, and any step can be stopped without unwinding what ran. DeskFerry holds no formal healthcare certification, so scope it as you would any other system in your control environment.
What still needs a person?
More than most automation pages admit. Anything outside the rules stops and goes to a named owner with context attached, rather than being guessed at. The rules themselves are changed by people — agents never widen their own tolerances. The carve-outs this team kept are named above.
What tools does this connect to?
1,500+ integrations. This build used Epic, Cerner, Athenahealth, Kareo and Google Forms; most healthcare stacks are a variation on that. CRM, email, chat, databases, and industry-specific software all connect without code.
Run this in your own stack.
Describe how Email Outreach should work at your healthcare business, in a sentence. DeskFerry builds the agents, wires your tools, and takes the routine volume from there. Start free — no credit card.
Or start from a template — Email Outreach agent for Healthcare.
Keep exploring
Related case studies.
The same job in another industry, or another job in this one.
More Healthcare case studies
Email Outreach in other industries
Composite scenario — built from patterns across many healthcare Email Outreach deployments rather than one customer's books. Figures are directional; your own depend on your volume, process, and starting point.