AI workforce for R&D

AI agents for R&D teams

Actionist is an AI automation tool whose agents operate the apps your team already uses. From scanning journals and patents by hand, to a digest that assembles itself and tax documentation that builds as you go.

R&D teams get back the hours lost to literature scans, experiment write-ups, deadline tracking, and tax credit paperwork.

Your AI workforce
26 hrssaved on avg per person / month
$1,950avg saved per person / month
28avg scheduled jobs a week
Operates your stackActionist App Store
How it works

AI Employees for R&D in 4 simple steps

  1. Manual Time

    We'll go over where you currently waste your time doing manual tasks.

  2. Actionist Automations

    We'll show you exactly how Actionist can automate these manual tasks.

  3. Your Benefits

    How much time and money you'll save by onboarding AI agents.

  4. Easy to use

    We'll show you how easy it is to enable AI across your business.

01

Where you spend your time

Why R&D teams switch

We know how your week actually goes

What matters to you
  • Read what matters, skip what doesn't
    An agent monitors your reading list and surfaces only what is relevant to the team's actual work.
  • Every result written up the day it happens
    Experiment outcomes get a proper write-up and land in the shared knowledge base before the details fade from memory.
  • Funding deadlines that never sneak up
    Every open call is tracked, with the outline and budget drafted weeks before the cutoff.
  • Tax credit records built as you go
    Qualifying hours and expenses are compiled on a schedule, so the year-end claim is a review, not a scramble.
  • See the competition before it surprises you
    Competitor patents, product claims, and conference talks are watched, and only real moves reach your inbox.
  • Spend hours on the science, not the admin
    Samples get tracked, supplies reordered, and equipment scheduled automatically, so your week goes to the bench.

And hundreds of other tasks you do manually..

An agent can take a lot off your team's plate. Take a look below to see the time and cost you could save by adding AI agents to your R&D team's day.

The problem

Where the hours go

  • Staying current means reading new papers, preprints, and patent filings across every source yourself, and most weeks that reading never happens until a deadline forces it.

    An agent monitors your team's watch list of journals, preprint servers, and patent databases and posts a ranked digest with the papers worth reading, on schedule.

  • Experiment results live in someone's notebook until the write-up gets done, which is why the knowledge base is always a quarter behind what the lab actually learned.

    An agent drafts the results write-up from the logged data and outcome notes and files it into the knowledge base the same day the experiment closes.

  • Grant and funding deadlines get missed because they live in someone's calendar or inbox, not a shared system anyone actually checks.

    An agent tracks every funding deadline against the application checklist and drafts the outline and budget sections weeks before the cutoff, not the night before.

  • Proving R&D tax credit eligibility means reconstructing months of time entries, project notes, and expense records by hand at year end.

    An agent compiles the qualifying time, project documentation, and expense records into the substantiation pack on a schedule, so year end is a review, not a scramble.

02

Actionist Will Automate

Anatomy of an automation

What one automation looks like

Trigger·On the Monday morning of each week, for the past week's monitored sources and logged experiments
Trigger
Step 1
Actionist
Weekly schedule fires for the research digest
read
Step 3
Actionist
Check monitored journals, preprint feeds, and patent alerts for new publications in the team's focus areas
Confirmation
Step 5
Human
Research lead reviews, adds strategic commentary, and approves the digest
Saved per run
~3 hrs
Runs / week
~1×
Every Monday digest is ready before the lab meeting, not assembled during it
A week in the life

A week with your R&D agents

28Scheduled jobs
6Agents at work
24/7Always on
Agents
Mon–Wed
Mon
Tue
Wed
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Apps

Some of the apps for your R&D team

Some of the R&D apps your agent operates for you. Hundreds more are in the Actionist App Store.

Triggers

Your Agent wakes up Automatically whenever something happens

Your agents watch the apps you already use and act the moment something happens, usually within about a minute, handle it based on your instructions, 24/7.

WhenA new preprint matching the team's watch list is postedfires within about a minute
The agent automatically

When a monitored journal, preprint server, or society bulletin posts something matching the team's tracked keywords and authors, the agent reads the abstract, writes a one-paragraph summary of the relevant finding, and posts it to the research Slack channel within about a minute, so nobody has to check ten feeds every morning to catch what actually matters.

Receives this trigger from
03

Your benefits

Manual vs agent

Where the time goes back

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • R&D
    120 min / week
    Scanning journals and patents by hand

    Someone reads through arXiv, journal feeds, and patent databases every week, and most weeks it slips until a deadline forces it.

    R&D Agent
    0 min
    Agent monitors and posts a ranked digest

    An agent reads the same sources on schedule and posts a one-paragraph summary of only what matches the team's watch list.

  • R&D
    120 min / week
    Writing up experiment results

    Results sit in a notebook until someone finds the afternoon to write them up properly, which is why the knowledge base is always behind.

    R&D Agent
    0 min
    Agent drafts the write-up the day it closes

    An agent drafts a structured write-up from the logged data and files it into the knowledge base the same day the experiment ends.

  • R&D
    180 min / week
    Building the grant application from scratch

    Someone starts each application from a blank document, rebuilding the outline and budget every cycle even when the science is similar to the last one.

    R&D Agent
    0 min
    Agent drafts the outline from existing notes

    An agent drafts the section-by-section outline and budget from the project's existing notes and past successful applications.

  • R&D
    200 min / week
    Reconstructing tax credit documentation

    Proving R&D tax credit eligibility means going back through months of time entries, project notes, and receipts by hand at year end.

    R&D Agent
    0 min
    Agent compiles the pack on a running basis

    An agent reconciles time and expenses against project codes every week and compiles the substantiation pack as the year goes, not after it.

  • R&D
    90 min / week
    Checking competitor patents and product pages

    A researcher manually revisits competitor patent filings and product pages every so often, which means real changes get missed for weeks.

    R&D Agent
    0 min
    Agent diffs pages and posts only real changes

    An agent checks the same filings and pages on schedule and posts only the changes that actually happened, the day they happened.

+ 100s of other automations
Average monthly
24 hrs / person / month
ROI

What that's worth

Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
30
Hours saved / year
1,500
Annual ROI
$113K

Based on typical team usage: the visible tasks plus a few other automations the agent runs: ~6 hrs / person / week of admin work automated.

04

How easy it is to use

Automatic onboarding

We'll do all the heavy lifting for you.

From entering your website address to having a working AI team, no effort from you.

  1. Step 1

    Enter your website

    • We'll research your business
    • Automatically configure everything for you
    Try the demo
  2. Step 2

    Actionist Auto

    Optional
    • Watches you work
    • Creates your agents, workflows and schedules
    Get the extension
  3. Step 3

    Marketplace

    • Hundreds of apps, plus agents and workflows
    • Pre-configured by other users
    Browse the App Store
  4. Step 4

    Invite your team

    • We'll automatically onboard them too
    • Focus on the things that matter
    Open Actionist

Enter your website URL for a personalised demo

See exactly what Actionist would automate for your business.

Trust & control

You stay in control

An agent touching your unpublished results, your grant applications, and your competitive intel only earns its place if you stay in control of every move. Actionist is built so the researcher decides what goes out, the lab sees everything, and nothing irreversible happens without a human sign-off.

Drafts wait for the researcher

By default the agent writes digests, write-ups, and grant sections and queues them for review. Nothing goes to a funder, journal, or collaborator without a human choosing to send it.

Destructive actions always ask first

Anything that deletes a notebook entry, submits an application, or shares data externally stops for explicit approval, regardless of how much autonomy you have granted elsewhere.

Every action is logged

A full audit trail records every write-up drafted, every budget line touched, and every report built, so the PI can see exactly what the agent did and when.

Your data stays yours

Unpublished results, lab notebooks, and grant drafts are encrypted, never used to train models, and can be self-hosted on your own VPS if your institution requires it.

Industries

This team, in your industry

The same agents, set up for the way a specific industry works, its tools, its tasks, and the language its customers use.

Industry-specific versions of this team are coming soon.

FAQ

Frequently asked questions

Does my R&D team need to be technical to set this up?
No. You describe what you want monitored, logged, or tracked in plain language and Actionist configures the agent. Most research teams have a literature-monitoring agent and a logbook agent running the same day they start. No code, no API keys, no IT ticket.
How do I get started?
Connect the apps your team already uses, your lab notebook, your funding tracker, your grant calendar, and describe your watch list, your knowledge base structure, and your tax credit categories in plain English. The agent takes it from there, and you refine it by editing its early drafts.
How do I build a custom AI agent for a research workflow specific to my lab?
Every lab has a process the template agents do not cover exactly, a specific assay pipeline, a particular funder's reporting format, a lab-specific sample chain of custody. In Actionist you can build a custom AI agent for any research workflow your team repeats. Describe the steps and the apps involved and the agent takes it from there.
How quickly can I set Actionist up for the R&D team?
Most teams start with a literature-monitoring agent and a logbook agent and have both running the same day. Connect your notebook, your tracked sources, and your knowledge base, describe your project taxonomy, and add the grants and compliance agents once the first two are dialled in.
Where does our unpublished data live, and is it used to train AI?
Your data stays yours. Experiment results, grant drafts, and lab notebooks are encrypted, never used to train models, and every action the agent takes is logged so you can audit exactly what it read and did. If your institution requires everything on your own infrastructure, you can self-host on a VPS.
Will it send anything to a funder or journal without me checking first?
Only if you choose to let it. By default the agent drafts digests, write-ups, and grant sections and queues them for your review. Approval modes let you move from suggest, to ask each time, to guarded auto on the repetitive tasks you trust, and anything that leaves the lab, an application, a reply to a funder, always asks first.
What if our electronic lab notebook or grants portal has no API Actionist can connect to?
Because Actionist uses computer use in the cloud, it operates your lab notebook, grants portal, or patent database the way a researcher would, by reading the screen and taking actions directly. That means it works with tools that have no API at all, including older ELN systems and funder portals that predate integrations.
How does it know what counts as qualifying R&D work for the tax credit?
You describe your project's technical uncertainty and qualifying activities in plain language, and the agent reconciles logged hours and expenses against those categories. You review and correct its allocations the same way you would coach a new lab manager, and your finance or tax advisor still makes the final eligibility call.
Which tools does this connect to?
Any app in the Actionist catalog you connect, including Notion, Confluence, and Airtable for the notebook and knowledge base, Google Sheets and Excel for tracking and budgets, ClickUp, Jira, or Linear for project and prototype tracking, Harvest, Toggl, or Xero for time and expense reconciliation, and Slack for delivery of every digest and alert.
Get started

See an agent turn a week of experiments into a digest and a filed write-up

Book a free demo and watch an Actionist agent monitor the literature, draft a results write-up, and track a grant deadline, end to end.