Scientific documents
Prepare recurring reports, technical summaries and evidence packs from approved sources, with explicit review gates.
Draft · link · checkAI consultancy & implementation · Life sciences
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.
01 / What SHIRO does
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.
Prepare recurring reports, technical summaries and evidence packs from approved sources, with explicit review gates.
Draft · link · checkMake SOPs, protocols, manuals and previous reports easier to search with source-linked answers instead of generic chatbot output.
Retrieve · cite · answerAutomate literature monitoring, information extraction, completeness checks and the repetitive hand-offs between scientific systems.
Monitor · extract · route02 / Controlled workflow
A recurring study report shows how SHIRO retrieves approved information, assembles a review draft and surfaces gaps, then stops for a person.
The workflow starts from information the team has approved for use.
Rather than searching multiple folders and copying text manually, the workflow retrieves the passages associated with the report sections.
Methods. Samples were assayed according to SOP-042 v4.2.
Results. Potency was 98.4%, within the recorded specification range.
The draft does not silently fill a field when the approved source set contains no answer.
03 / How we work
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.
Map the workflow, time cost, data sources, hand-offs, risks and review points.
Build one narrow prototype using representative information and agreed success criteria.
Connect the working approach to existing documents, systems, permissions and review processes.
Maintain and refine workflows that are genuinely useful, then expand only where justified.
After the audit
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.
The current process, systems, hand-offs, bottlenecks and review points.
Which steps look suitable for AI assistance, and which should stay manual.
Where information needs provenance, permissions, checking or human approval.
A focused pilot brief with inputs, success criteria and a realistic next step.
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
Best fit: organisations where generic automation misses the scientific context, but a large enterprise transformation programme is unnecessary.
Early focus · non-diagnostic operational workflows
Recurring report production, document retrieval and study hand-offs.
Quality, research and technical documentation without large internal ops teams.
Protocol knowledge, controlled documents and repetitive evidence gathering.
Controlled operational documentation and evidence-heavy internal workflows.
05 / Trust & control
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.
Consequential outputs can be designed to stop for an authorised reviewer rather than flow straight through.
Where the workflow supports it, generated statements can carry links back to the approved evidence used.
Data access should be scoped to the minimum information and permissions the workflow actually needs.
Prompts, retrievals, output versions and approval events can be logged as part of the implementation.
Start with one workflow
Describe the repetitive scientific workflow causing the most operational drag. The first conversation should determine whether there is a credible, narrow pilot — not force a platform sale.
Tell us what is slowing the team down. Your enquiry will be sent to SHIRO AI for follow-up.