AI that is audit-proof — and actually used.
Most biotech AI initiatives stall between the demo and the diligence question. MorseWire builds AI adoption that survives both: governed for your regulatory and IP posture, and trained into your team so it is doing real work from day one.
Document workflows
SOPs, contracts, vendor packets and submissions — summarized, compared and routed in hours instead of weeks of staff time.
Data workflows
Structured pipelines for the operational data you already have. Patient data stays out of scope — deliberately.
Vendor and LLM selection
Which tools clear your IP, privacy and contractual bar — and which quietly train on your inputs. We vet the terms, not the marketing.
Responsible-AI governance
A usage policy, an approved-tool list, human review and an audit trail — the answer to the diligence question before it is asked.
Workforce enablement
Role-based, hands-on training on your actual workflows — not a generic prompt-engineering seminar.
Adoption that sticks
Usage is measured, reviewed and improved on a cadence. AI that is operated, not demoed and abandoned.
Lower burn. Stronger diligence story. No new risk.
AI is only an advantage if it cuts cost without creating a compliance problem you discover during a raise.
The savings are concrete: document-heavy work — regulatory research, vendor review, meeting synthesis, reporting — is where venture-stage teams quietly spend salaried hours. Governed AI workflows return those hours to the science without adding headcount.
The fundability case is just as concrete. Investors now ask how you use AI and how you govern it. A signed policy, an approved-tool list and a review log turn that question into a strength. An ungoverned free-for-all — or a ban nobody follows — turns it into a finding.
And we keep it honest: no patient data, nothing inside validated GxP systems until it is governed there, and your IP stays in your tenant under terms we have actually read.
What it protects
- COSTHours back to the scienceDocument and data work handled in your tenant, measured monthly.
- RISKIP and regulatory posture intactVetted vendors, no training on your data, PHI out of scope.
- RAISEA diligence-ready answerPolicy, tool list and audit trail you can hand to an investor.
Day One AI.
A fixed-scope sprint. Your team is using AI on real work — governed, trained and in your own tenant — on day one. Not a roadmap deck.
What you leave day one with.
A signed AI usage policy. An approved-tool list with vetted terms. Two or three live workflows built on your actual documents and data. A team trained on those workflows — and a review cadence so it holds.
Fixed scope, fixed price, on your calendar. Bring one painful document workflow; we will bring the rest.
How AI gets operated here.
The same MorseWire methodology that runs your security and compliance programs — applied to AI.
Readiness, not hype
We map your documents, data, IP posture and regulatory boundaries to find the use cases worth doing — and the ones that would create risk.
Policy and vendor decisions
Usage policy, approved tools, data boundaries and priorities — agreed with leadership in plain language, before anything is deployed.
Train, deploy, govern, measure
Workflows go live, the team is trained on them, usage is reviewed on a cadence, and the audit trail accrues. See the Operator Program for how training recurs.
The questions boards actually ask.
Will our IP or data end up training someone else’s model?
Not under the tools we approve. Vendor selection includes reading the data-use terms — enterprise tenancy, no training on your inputs, retention limits. Tools that fail that bar do not make the approved list, whatever their demo looks like.
Does this create audit or regulatory exposure?
The opposite, done properly. AI stays outside validated GxP systems and away from patient data; usage is governed by a written policy with human review and a log. That is the posture an auditor — or an acquirer — wants to see.
Which vendors do you recommend?
We are vendor-neutral. Selection is an output of Assess — your data boundaries, your budget, your workflows — not a reseller arrangement. You get a shortlist with the trade-offs stated plainly.
Who owns it when the engagement ends?
You do — the policy, the tooling, the trained team and the documentation. Many clients keep us on as the operating partner through the vCIO program, but nothing is held hostage.
Start on day one.
Governed, trained, in production — while your competitors are still arguing about a pilot.
Tell us the workflow that eats the most hours. We will tell you what Day One AI does to it.