AI consultancy & implementation · Life sciences

Scientific work, accelerated.

SHIRO designs and implements controlled AI workflows for biotech companies, CROs and scientific laboratories — reducing repetitive document and knowledge work while keeping scientists responsible for every decision that matters.

Start pointOne high-friction workflow
ApprovalHuman review stays in place
ApproachBuilt around existing systems
Source-aware outputsControlled-document workflowsImplementation available
FIG. 01 · Illustrative workflowExample sources → SHIRO → review draft
Example approved sources
SOP-042v4.2 · controlled
Assay resultsELN export
Report templateRPT-11 · approved
SHIRO workflow
Retrieve
Structure
Draft
Check
Run the walkthrough to see how the stages connect.
Example output · pending approval
Example study report · draftSHIRO
§ 4.2 ← Assay 07-C
Field 7.3 “Deviations” has no approved source data.
Study directorHuman approval required
Pending
Illustrative example using fictional dataMissing information is surfaced for review
Common friction pointsWhere teams lose time
Recurring study reportsSOP searchLiterature monitoringEvidence-pack preparationManual data hand-offs

01 / What SHIRO does

AI for the work around the science.

We focus on repeatable workflows where information has to be found, structured, checked and reviewed. No generic “AI transformation” programme. One practical workflow at a time.

/01

Scientific documents

Prepare recurring reports, technical summaries and evidence packs from approved sources, with explicit review gates.

Draft · link · check
/02

Internal knowledge

Make SOPs, protocols, manuals and previous reports easier to search with the option for source-linked answers instead of generic chatbot output.

Retrieve · cite · answer
/03

Research & operations

Assist with literature monitoring, information extraction, completeness checks and the repetitive hand-offs between scientific systems.

Monitor · extract · route

About the founder

Built close to the work.

SHIRO AI was founded by Adrian Hall, who focuses on the practical application of AI within scientific organisations. He is studying at the University of Warwick.

SHIRO works with teams to identify repetitive, evidence-heavy processes that can be improved without removing human scientific judgement. Adrian is building it to make careful, evidence-linked use of AI more practical for specialist teams, starting with the work around science rather than replacing scientific judgement.

02 / Controlled workflow

Same judgement. Fewer manual steps.

An illustrative recurring-study report shows how SHIRO can retrieve approved information, assemble a review draft and surface gaps, then stop for a person.

Sequence
SHIRO · illustrative report workflowReview required
Example study report · Compound 07-CReview required

Approved source set

The workflow starts from information the team has approved for use.

SOP-042 v4.2Controlled
Assay 07-CApproved result
RPT-11 templateCurrent template

03 / How we work

Start narrow. Prove value. Then scale.

SHIRO begins with a workflow, not a platform sale. The engagement is deliberately small enough to test quickly and rigorous enough to decide whether implementation is worth it.

One workflowKeep the first scope narrow.
Representative inputsUse realistic documents or data.
Clear review gateDefine where a person must decide.
Success criteriaAgree what would justify implementation.
01 / Paid audit

Understand

Map the workflow, time cost, data sources, hand-offs, risks and review points.

02 / Pilot

Prove

Build one narrow prototype using representative information and agreed success criteria.

03 / Implement

Integrate

Connect the working approach to existing documents, systems, permissions and review processes.

04 / Support

Operate

Maintain and refine workflows that are genuinely useful, then expand only where justified.

Example pilot

SOP knowledge pilot

An example controlled assistant designed to answer questions from an approved set of SOPs, provide citations and flag when the evidence is missing.

Evidence-linked answersHuman review
Illustrative length1–2 weeks, depending on scope
DeliverableWorking prototype + findings note
ScopeOne workflow · agreed sources · review gate

Pricing is agreed after the free discovery call, once the inputs and review requirements are clear.

After the audit

A clear next step, not a slide deck.

The audit should leave your team with something practical: a shared view of the workflow, the control points that matter and a sensible decision about what to test next.

01 / MAP

Workflow map

The current process, systems, hand-offs, bottlenecks and review points.

02 / FIND

Opportunity assessment

Which steps look suitable for AI assistance, and which should stay manual.

03 / CONTROL

Risk & review plan

Where information needs provenance, permissions, checking or human approval.

04 / DECIDE

Pilot recommendation

A focused pilot brief with inputs, success criteria and a realistic next step.

Useful even if you do not proceed

A good audit should make the workflow clearer whether the answer is “pilot this”, “fix the process first” or “do not automate this yet”.

04 / Who it's for

Specialist teams with operational friction.

Best fit: organisations where generic automation misses the scientific context, but a large enterprise transformation programme is unnecessary.

Early focus · non-diagnostic operational workflows

Contract research organisations

Recurring report production, document retrieval and study hand-offs.

Biotech SMEs

Quality, research and technical documentation without large internal ops teams.

Scientific laboratories

Protocol knowledge, controlled documents and repetitive evidence gathering.

Diagnostics & medtech teams

Controlled operational documentation and evidence-heavy internal workflows.

05 / Trust & control

Useful AI still needs boundaries.

The workflow should make review easier, not disguise uncertainty. SHIRO's implementation approach is built around traceability, permissions and human sign-off where the work requires it.

SHIRO is early-stage. We do not claim certifications, validated status or deployment guarantees we have not yet earned. Security architecture and data handling should be agreed for each engagement.

✓

Human review

Consequential outputs can be designed to stop for an authorised reviewer rather than flow straight through.

✓

Source traceability

Where the workflow supports it, generated statements can carry links back to the approved evidence used.

✓

Controlled access

Data access should be scoped to the minimum information and permissions the workflow actually needs.

✓

Auditability

Prompts, retrievals, output versions and approval events can be logged as part of the implementation.

Free 20-minute workflow discovery call

Find the first place AI is actually worth using.

A free 20-minute conversation to identify one repetitive process, its information sources, review requirements and whether it is suitable for a small pilot. A paid audit is scoped separately if a deeper assessment is useful.

01Identify one repetitive process
02Map sources and review requirements
03Decide whether a small pilot is justified
Free 20-minute callPaid audit scoped separatelyPilot recommendation

Request a discovery call

Tell us what is slowing the team down. We’ll use your enquiry to prepare a focused, free 20-minute conversation.

The call is free. Any paid audit or pilot would be separately scoped. Please do not include patient data or confidential study information.