Pharma · Clinical

Personalized Solutions for Pharma Clinical Operations

We help pharmaceutical teams improve clinical workflows, data processes and operational execution through tailored organizational, digital and technical solutions.

01 · the phase

Clinical operations sit at the intersection of patient safety, regulatory rigor and operational complexity that stretches over years. We know the typical bottlenecks, fragmented data across sites, manual documentation workflows that don't scale, and trial timelines slipping under the weight of process debt, and we know which of them can be moved with a 4-week proof-of-concept.

02 · what we hear

Key challenges, and how AI-driven transformation helps.

  • Study operations
    Challenge

    Highly heterogeneous data formats at ingestion across many sites slow trial planning, start and closeout, while protocol and trial documentation stays manual and paper-driven under strict regulatory compliance.

    How we help

    We map and standardise data from multiple sites into one unified scheme with a predictive timeline score, and auto-draft, cross-reference and pre-audit GxP-compliant documentation with a complete audit trail.

  • Patient engagement
    Challenge

    Recruitment is slow because of complex study designs and narrow eligibility, and patient adherence is tracked mostly through ineffective touchpoint visits.

    How we help

    We identify target patients with a data-driven segmentation that matches them to study needs, and connect patient data to the operations team for quick, personalised intervention and stronger retention.

  • Regulatory
    Challenge

    An ever-evolving regulatory landscape with diverse rules is hard to track, forcing sponsors to adapt fast under the pressure of a running trial.

    How we help

    We provide an intelligent, self-updating search that synthesises regulatory information across products and markets, raising approval success and shortening time to launch.

03 · the framework

One offering, three implementation fields.

Organizational Implementation

Change that the organization actually adopts, not a reorg on paper.

  • Processes, roles and responsibilities
  • Ways of working and operational flows
  • Internal collaboration across functions
  • Change management and adoption

Digitalization, AI & Software

Tailored software, AI workflows and automation, fit to your situation, not off the shelf.

  • Custom software development
  • AI applications and automation
  • Data platforms and interfaces
  • Digital workflows, internal tools, system integration

Evaluation, Hardware & Optimization

What to optimize, what to buy, what to build, and which partners to bring in.

  • Evaluation of existing processes
  • Process optimization
  • Hardware selection and evaluation
  • Make-or-buy decisions, partner integration

04 · use cases

What a 4-week PoC could target.

Unified clinical data layer

One searchable, decision-ready view across EDC, CTMS and sites.

We consolidate fragmented trial data into a single layer, mapping sources, flows and definitions, so teams stop stitching formats by hand and decisions run on trusted, aligned data.

What good looks like

  • Consolidated, searchable trial data
  • Faster, more reliable decisions
  • Aligned definitions and KPI readiness

Remote & decentralized testing

A patient–physician portal and connected workflow for home/remote testing.

We design and implement the shift from clinic-based to homecare testing, secure patient identification, a web portal connecting patients with their treating physicians, with multi-language and national regulatory requirements built in.

What good looks like

  • Patient- and nurse-driven testing
  • Better physician communication and treatment adherence
  • Compliant and scalable across countries

Trial team & stakeholder alignment

One source of team goals, roles and status, less onboarding churn.

We interview scientists and leads, consolidate the feedback, and stand up a single source presenting roles, goals, FAQs and key documents, cutting redundant introductions when stakeholders or priorities change.

What good looks like

  • Instant visibility for the team
  • Managed stakeholder expectations
  • Less scope churn and re-onboarding

AI-assisted documentation

Draft and check clinical documents against your SOPs, faster.

We prototype an AI workflow that drafts and reviews documentation, for example CSR preparation or audit-trail checks, against your SOPs and standards, with a human in the loop.

What good looks like

  • Faster document preparation and review
  • Consistency with SOPs and standards
  • Earlier detection of gaps

Multi-source clinical insight

Combine diagnostic and trial data for patient-centric insight.

We connect multiple data sources into a cloud-based, AI-driven view that enables more comprehensive, patient-centric insight and better-supported clinical decision-making.

What good looks like

  • Patient-centric, decision-ready insight
  • Integrated multi-source data
  • Better-supported clinical decisions

05 · proof

Work, re-framed for this phase.

Digital Biorepository · Swiss pharma client

We transferred learnings from cross-site data workflow automation into a clinical process environment, same backbone, different compliance frame.

Background
Cross-site collaboration on bio-sample management, biosamples (cells, proteins, plasmids, antibodies) distributed across multiple locations with no clear structure. Tracing, accessing and collecting the right samples was slow; scientific productivity was capped.
Solution
A global virtual + physical solution to handle, search and retrieve biosamples. Secure cross-site sharing, AI-contextualised digital + physical storage, and an integrated request → register → store workflow.
Results · 12 mo. after engagement
Remote and centralised access to bio samples. Faster data access. Lower experiment time and cost. ~35% efficiency improvement.
inite's role
inite concepted, designed and managed the full DBR implementation across life-science, IT and business domains. Delivered a standardised Bio-Sample Data Model aligned with FAIR principles. Aligned multiple sites and functions on a single workflow.

“Inite positively influenced a change of mindset and supported us to approach the task with fresh thinking. Their approach allowed the team to imagine solutions in an unlimited way rather than being held back by constraints and obstacles.”

Global Process Owner, Biosample Management · Global Pharma Company

Automated Compound Hub · Swiss biopharma client

Process discipline and stakeholder negotiation from a compound-management rollout, the same muscle that holds a Phase-III trial together across CROs.

Background
Growing global volume of compound orders for powder-solution production with varying priorities. The compound-management team was strained on productivity, sample tracking and prioritisation.
Solution
Personalized Solutions workshop to optimise workflows, then a fully automated platform for powder weighing and liquid handling, designed for global rollout, with throughput, safety and priority handling built in.
Results · 12 mo. after engagement
Daily processing capacity up by more than 500%. Lab processes automated and optimised. Global standardisation of order processing across the department.
inite's role
inite provided a Scientific Business Analyst and Solution Architect. Owned system specifications and the functional-design phase. Architected the high-throughput solution. Negotiated with stakeholders to reconcile business and technical requirements.

“Inite contributed significantly to the success of our projects with excellent and well-founded analyses. Their structure and committed way of working was greatly appreciated by the team.”

Compound Management Director · Global Pharma Company

06 · why inite

What every client comes to us for, whatever their field.

  1. AI that delivers on your goals.

    No slide decks, no chatbots. Working tools in your team’s hands, not another strategy workshop.

  2. Buy, build, or skip.

    Straight advice on what is worth building, buying, or leaving, carried from pilot through to production.

  3. Startup speed. Corporate delivery.

    Startup pace with the rigour your regulated world needs. Tailored rollout, at a speed that fits you.

Improve clinical operations with tailored solutions for complex trial environments.

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