A controlled sales-process infrastructure for Amalia: a set of rules and agents that source the right accounts cleanly, start better conversations with decision-makers, track every relationship as it progresses, and improve the process over time. The map below shows how it fits together.

Research Agent
Enriches contacts, verifies ICP fit, flags decision-makers
always on
Signal Monitor
Watches industry signals, LinkedIn activity, company news
always on
Content Agent
Generates LinkedIn post briefs based on LinkedIn campaign data
schedule-based
Reply Classifier
Categorises responses, surfaces full context to Thras
always on
ICP definition with Amalia team - director+, pharma and life sciences, $100M+ revenue, EU and US. Based on current clients and growth targets.
Bespoke Account Sourcing & Multi-Layer Data Hygiene
Warm network Cold outreach
Apollo Sales Navigator Explorium Custom Scoring Agent
The Research Agent staging layer cross-references every contact against Amalia's live database before it can enter a campaign. Zero duplicates, no list pollution, and continuous data-quality enrichment built in from the start.
The Quality Director and IT Director jointly own the buying decision: the Quality Director holds the budget and mandate, the IT Director provides technical sign-off. Targeting both covers the full buying committee, so deals don't stall on a missing approver.
Account Profile
Big pharma - EU / US $100M+ revenue One account - two contacts
Decision-makers and budget holders only.
Quality Director
Budget holder Primary target
IT Director
Co-decision maker Secondary target
Before any campaign is automated, we define the rules that control the system. These guardrails keep the data clean, the brand safe, and Amalia in control of every send.
All touchpoints and signal events sync to CRM in real time
* Campaign segments and signals shown are examples based on research. We work with you on segmentation and targeting.
Signals do not only trigger campaigns. They feed a decision layer that picks the right next action for each contact, so the system stays relationship-aware, not just campaign-driven.
The system looks at
The signal that fired The contact's role The account's fit Previous touchpoints Last interaction date Reply history Current CRM status
Then decides the next step
Trigger signal-specific outreach Continue baseline relationship track Pause outreach Surface the contact for manual review Add to relationship watchlist Sync the next action into HubSpot
Every item below is written to the contact's HubSpot record in real time
Who
Name, role, account
Signal
What triggered this
History
Every prior touchpoint
Reply
Full message text
Angle
Suggested response framing
Increased reply rate per account
Positive, interested replies, not just opens.
Amalia stays top of mind
Warm and repeat replies as target accounts remember Amalia across the cycle.
Right prospects, reached consistently
Decision-makers covered on cadence over the long sales cycle.
Every campaign, signal, reply, and touchpoint is tracked, so Amalia can see what is working and improve the process over time. Reporting is built in from the start, not bolted on later.
Launch, measure, learn, refine, improve. The process gets sharper every cycle.