Incedo APEX Agentic Field Operations for Life Sciences

APEX reads across every commercial system to tell your sales teams what to do next, which HCPs to engage, and why.

The structural problem

Fifty systems. None of them are talking.

A day in the life of a life sciences sales rep runs across close to fifty systems, and none of them talk
to each other.

IQVIA Rx TRx / NRx trend Market share Payer mix Target list Call plan Segmentation IC dashboard Quota tracker Payout statement Attainment portal Formulary lookup Payer coverage PA support Approved content MLR portal Detail aids Email templates Veeva CRM Call logging Sample accountability Concur expense Fleet management LMS compliance Speaker programs Shared drive Travel booking Copay program Timesheet Intranet Attestations Certification Alignment file Cycle plan Leave-behinds Email archive Territory notes Signature capture Medical inquiry Adverse event form Grant requests Conference planner Badge access Learning portal Benefits portal IT helpdesk VPN portal Payroll Vehicle log Expense receipts Policy library Time-off portal Org directory REP

Where it shows up

The rep needs an answer. It doesn't arrive in time.

CRM holds what the last conversation with an HCP was and when the next planned conversation is. Prescription data holds what the prescriber did. The incentive system holds what it was worth. Market data holds what competitors are doing. Between them they hold everything needed to decide where a rep should spend the day.

And none of them answer the question the rep actually has: which HCP to see next, and why.

01

Field blind spots

A prescriber has been writing fewer scripts for two
months straight, but looks identical to everyone else on a static call list unless a rep manually hunts for the decline.

02

Wasted open time

Last-minute cancellations leave open blocks in unfamiliar
territories. Calculating proximity, field-call rules and drive worthiness manually burns the opportunity window.

03

Static score failure

Two HCPs return with the exact same priority score while
one is actively slipping and the other is growing. The score reveals neither the trajectory nor the next action.

04

Disconnected payout cycles

A rep learns their position on the payout curve
only when the statement arrives, weeks after the field activities that could have moved the needle.

05

Cross-system operational drag

Did I get credit for an HCP that moved? Is this
shortfall execution or market? Where is erosion building beneath an aggregate that looks fine? Each answer means pulling from
several systems by hand.

Introducing APEX

APEX is an agentic AI advisor for life sciences sales teams.

Instead of adding another system, it reads across the ones a commercial organization already runs and turns what these systems hold into a single answer: who to see, why they matter, and how to engage them.

For example, a prescriber writing fewer scripts this month might be noise or might be something for a rep to address right away. Rather than making the rep wonder, APEX provides the full picture: how long since the last visit, how big a part of the territory the prescriber is, what follow-ups are pending from last time.

What reaches the rep isn’t a number. It’s a judgment about whether this HCP is worth the rep’s time today.

And when the rep decides, they act directly in APEX: add the call, capture the outcome, and it flows seamlessly back to the system of record.

APEX is designed around the decision, not the report.

What matters now
Rep
Confirmed actions
Systems of record
  • IQVIA prescribing data
  • Veeva CRM
  • Call plan and targeting
  • Incentive compensation
  • MLR-approved content
  • Formulary and coverage
Read
APEX
Commercial Context Engine
Guardrails
AI Reasoning Engine
01Which HCPs matter today, and why
02What is shifting in the territory
03Where they stand against target
04The reasoning behind each
What the rep produces
Veeva CRM
  • Call outcome and notes
  • Updates to scheduled calls
  • Post-call notes
Other systems
  • Mileage
  • Expenses
  • Compensation inquiries

How it works

Four steps from raw signal to field action.

01

Connect

02

Contextualize

03

Reason

04

Act

These resolve into one identity-consistent view: prescriber, territory, brand, period. Integration is configurable per customer, against whatever data they actually have.

Agentic reasoning goes beyond static prioritization

Same two HCPs. Three different right answers.

A traditional targeting model optimizes one company-level objective and outputs a static ranking. APEX’s AI Reasoning Engine uses AI agents that start from where this individual rep actually stands against their specific compensation curve. The third column reaches the same action as the second for an entirely different reason, which is the distinction a score cannot make.

← Scroll to see more →
Scenario A: chasing quota
Gap still open, cycle running
Scenario B: target cleared
Accelerator tier in play
Scenario C: cycle is gone
No mathematical path this period
Territory context Quota gap is still open, cycle running Target hit, accelerator tier in play No mathematical path to target this period
APEX
recommendation
Take the HCP closest to writing
to convert now
Take the HCP who is slipping
to hold the relationship
Take the HCP who is slipping
to protect next cycle
The underlying
why
Conversions close the gap immediately. The slipping relationship can wait one cycle. Every script still pays, but protecting a drifting relationship is worth more than one easy conversion. This cycle is gone. What matters is not starting the next period from a weaker volume base.
What it protects Attainment this period Retention next period The base the next cycle starts from

Three vantage points

One engine, three vantage points.

APEX answers three levels of questions and acts on the answers, all from the same connected data.

Field Rep

Territory level

Field Leadership

District and region level

Commercial Executive

National and portfolio level

APEX in action

A day with APEX, from the first message to the last visit.

Context

A connected view of every HCP

Everything about this prescriber, in one place, before the call.

A score says who. APEX says who, why, and what to do.

Direction

From priority to action

The day

Dynamic daily planning

Today’s plan · 14 TRx from target, two weeks left.
✦
You have two hours open. Here's an HCP worth considering.
M
Dr. Matthews
2 miles from your current location
You are overdue for a call.

Open time

Intelligent use of open time

Attainment

Compensation transparency and efficiency

Accelerated payout tier in reach

You’re 14 TRx away from 100% of target and the accelerated payout tier, a gap of $262, with two weeks left in the cycle.
Lia
Today's plan
Why was this HCP prioritized?
✦ Lia
Dr. Shah's scripts have slipped since September, and you're 14 TRx from target with two weeks left.

Ask anything

Conversational intelligence

What you get

Start with the rep. Extend to the organization.

Available today

Rep Advisor

Territory level

An always-on agentic advisor for field reps that surfaces which HCPs matter today and this week, why they matter, and how to
engage them, with reasoning visible. Attainment and call performance sit alongside, current and at a glance.

Action
Efficiency

Available today

Lia – AI assistant

Embedded across every surface

Ask in plain language and get an answer with the reasoning attached, never an unexplained metric or recommendation. Why was this HCP prioritized? What changed in my territory? Where do I stand against the target? What is driving the gap? Which opportunities should I focus on today?

Ease of use
Transparency

Available today

The foundation underneath

Commercial Context Engine

The foundation that powers everything else. It holds the domain vocabulary and ontologies of life sciences commercial operations: what a decile means, how a call plan relates to a target, why NRx and TRx answer different questions. Without it, a drop in scripts is just a number. Every figure and recommendation across the modules resolves against it.

Accuracy

Domain depth

Coming soon

HQ Control Hub

District and region

A connected view for commercial managers and leaders that separates execution issues from market shift, surfaces emerging risk before it becomes a performance issue, and shows where coaching would make the most difference. Structural issues like formulary restrictions surface alongside.

Coaching
Fairness

Sales Accelerator

National commercial leadership

Finds the competitive threats and growth opportunities an aggregate figure hides, share erosion building inside districts, prescriber-level movement, and white space where high-value HCP segments sit under-engaged, enabling leadership to route to the teams positioned to act.

Strategic growth
Visibility

Platform governance

The context engine, and the guardrails around it.

The domain layer

Built on life sciences structure

Every figure, recommendation, and the reasoning behind them depends on knowing industry ontologies natively. A horizontal AI layer can be configured toward life sciences-specific context, but it doesn’t arrive knowing it. APEX ships with the domain already encoded. What’s configured per deployment, IC plan, metric definitions, approved content, is your own, allowing faster scaling across brands.

Governance

Explainable by design

Every recommendation traces to the data that informed it, and the AI explains its own reasoning in plain language. Users understand not just what the recommendation is but why it was made. Where APEX cannot answer with the data, definitions or permissions available, it says so rather than guessing. For commercial operations, finance, and compliance stakeholders, explainability is foundational to trust and adoption.

Guardrails by design

APEX applies controls before generation rather than relying on post-generation filtering. Approved content libraries govern generated promotional content. Pre-approved substitution points constrain permitted variations. Territory, role, and brand permissions are enforced before data reaches the intelligence layer. Questions outside the user’s access or the solution’s available information are explicitly declined, and every decision is logged.

Integration

Works with the stack you already have

Designed to work with the commercial systems organizations already use. It does not require a CRM replacement, vendor consolidation, or wholesale technology migration. Where an organization already has a next-best-action or prioritization model, APEX can consume its output. Where it does not, APEX produces its own recommendations from the same commercial signals.

Data alone isn't enough

Beyond the data sources, APEX consumes the customer’s own definitions and approved material: KPI and formula definitions, SOPs, the approved content library with MLR metadata, and content compliance rules. Recommendations and explanations resolve to the organization’s own definitions rather than generic ones.

Business benefits

Put commercial time back into action, coaching and growth.

APEX is designed to help commercial organizations achieve measurable improvements across the field and sales operations lifecycle, by putting agentic AI on the questions that currently take days or even longer to answer by hand.

01

Field optimization

More time with HCPs

Less time navigating reports and reconciling systems, more time in front of prescribers.

Better-targeted field days

Reps act on what changed recently rather than a list built last Friday.

Clearer line between effort and earnings

Reps see where they stand and what remains, without waiting for the statement.

02

Leadership efficiency

Faster diagnosis of performance gaps

Whether a shortfall is execution or market, answered in minutes rather than assembled over days.

More time for coaching

Managers spend less time assembling information and more time on the reps and territories where it matters.

03

Portfolio visibility

Erosion surfaced early

Where the business is losing ground beneath an aggregate that still looks fine, before it shows up in the quarter.

Growth you can route

White space and under-engaged segments identified and passed to the teams positioned to act on them.

Security and compliance

Incedo’s security posture.

ISO 27001:2022 certified

The globally recognized benchmark for information security management. Incedo holds certification covering a rigorously
audited security posture, robust access controls and enterprise-grade data protection, validated through independent
third-party onsite audits conducted annually.

SOC 2 Type 2 in progress

Building on the ISO 27001:2022 foundation, Incedo is actively pursuing SOC 2 Type 2 attestation, subjecting operational controls to independent audit validation across the Trust Service Criteria.

Technology partners

Designed for the enterprise ecosystem you already use

AWS

OpenAI

Databricks

Google Cloud

Salesforce.com logoA cloud computing company based in San Francisco, California, United States

Salesforce

Frequently asked questions

Questions we get asked.

What is APEX?

APEX is an agentic advisor for life sciences commercial operations. It connects CRM activity, prescription data, incentive compensation, and market signals to generate prioritized, explainable actions for field representatives and commercial leaders. Rep Advisor is the core solution available today, with additional management and leadership capabilities planned for future releases.

Does APEX replace our CRM or incentive compensation platform?

No. APEX is designed to work alongside existing commercial systems such as CRM, incentive compensation, prescription, market, and data platforms. It connects the information across these systems to make it more actionable.

How is APEX different from the analytics and prioritization platforms we already use?

Most commercial platforms are optimized for a specific function, such as CRM, prioritization, analytics, or incentive compensation, and report on what sits inside their own boundary. APEX reasons across all of them. It reads the signals each system holds, works out what they mean together, and arrives at a recommendation with the reasoning attached. Analytics tell a rep what happened. APEX tells them what to do, when to do it, and how.

Does APEX change our call plans?

No. APEX works with the call plan produced by your organization and helps reps execute it more effectively, including sequencing the day, identifying open-time opportunities, and highlighting accounts that may need attention. Changes to call frequency or target lists remain within the organization’s existing planning process.

Do we need our own next-best-action or prioritization model?

No. If an organization already has a next-best-action or prioritization model, APEX can consume its output. If not, APEX’s AI Reasoning Engine produces its own recommendations from the same commercial signals.

How does APEX handle MLR and promotional compliance?

APEX constrains generated content to approved-language libraries and permitted substitution points. It does not permit unrestricted rewriting of clinical or promotional claims. Product and clinical claims are grounded in approved content, and the system can distinguish between information sourced from customer data, approved content, and other available knowledge.

How does APEX prevent users from seeing data they should not access?

Territory, role, and brand scoping are enforced before data reaches the intelligence layer. When a user makes an out-of-scope request, APEX returns an explicit refusal rather than exposing, fabricating, or inferring unauthorized information. Access and denial decisions can also be logged.

What happens when APEX cannot answer a question?

APEX is designed to say when the required information is unavailable or outside the user’s access and, where appropriate, suggest a narrower question it can answer.

What data does APEX need?

The initial implementation can work with CRM activity and call-plan data, prescriber-level prescription data, and incentive compensation and attainment information. Market and competitive data can add further context where available. APEX is designed to work with the data a customer has rather than requiring every possible data source.

How long does implementation take?

Implementation time depends on the number of source systems, data readiness, integrations, and use cases involved. Some simpler use cases may be deployed within weeks from kickoff, with additional reasoning capabilities layered in as they are validated. Implementation is scoped around the customer’s own commercial definitions, incentive plan structure, approved content, and operating processes.

What if every rep started the day with the next move already clear?

Are your reps spending their time finding data and insights rather than acting on them? APEX hands them the day already sorted:
who to see, why, and what to say. It connects the commercial signals you already have, explains what changed, and guides the action
that matters now.

Speak to an expert

APEX is available via the AWS Marketplace listing portal.

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