Your Marketing Stack
Deserves an Intelligence Layer,
Not Just More Point Solutions.

Predikly designs and engineers end-to-end, organisation-specific marketing automation platforms — powered by agentic AI that plans, executes, and measures as one continuous system, not fifteen disconnected tools stitched together with spreadsheets.

Book a CXO Briefing See the SAVI Case Study →
87.5%
Faster campaign
planning cycles
95%
Faster budget
reallocation
30×
Faster attribution —
monthly to real-time
The Martech Problem

You've Outgrown Point Solutions.
Here's What Sits Above Them.

Most marketing organisations run on 15+ disconnected systems — CRM, ad platforms, marketing automation, finance and ERP tools, spreadsheets — with no intelligence layer stitching them together. Every off-the-shelf Martech suite eventually hits the same wall: it automates a generic workflow, not the way your organisation actually plans, spends, and measures.

15+
Disconnected systems in
a typical marketing stack
14–16 wks
Manual planning cycle
before an agentic layer
30–45 days
Typical attribution lag
behind real spend
~4%
Budget variance — millions
in unexplained spend
01
Planning Lives in Spreadsheets
Campaign and budget planning still runs on manual spreadsheet work across teams — weeks of effort that should be strategic thinking, not reconciliation.
02
Execution Is Fragmented
CRM, ad platforms, marketing automation and finance systems don't talk to each other. Every activation is a manual handoff between tools never designed to work together.
03
Measurement Lags Reality
Attribution reporting arrives 30–45 days after spend. By the time you can see what worked, the budget behind it is already gone.
04
Off-the-Shelf Doesn't Fit
Generic Martech suites automate a generic process. They don't reflect your approval chains, your channel mix, or how finance governs marketing spend.
05
Reallocation Takes Weeks
Market conditions shift in days. Moving budget to the channels that are working still takes your team weeks of manual coordination.
Our Approach

Plan. Execute. Measure.
Optimize. As One System.

We don't sell a Martech product off a shelf. We design and engineer a customised agentic AI platform around your organisation's marketing operating model — unifying the four functions legacy Martech forces teams to handle in isolation.

01 — Plan
🧭
Planning & Forecasting
AI-augmented campaign plans in days, not months. Scenario planning and Bayesian marketing-mix modelling replace spreadsheet-driven budget cycles — every allocation carries a documented confidence interval, not a guess.
02 — Execute
⚡
Campaign Execution
Unified orchestration across every channel and one source of truth for every program. Agents coordinate activation across CRM, ad platforms, and content systems — the handoffs that today consume your team's time without adding judgement.
03 — Measure
📡
Real-Time Measurement
Multi-touch attribution and continuous reconciliation connect spend to pipeline and revenue — replacing the 30–45 day reporting lag. Marketing and finance work from the same numbers, updated continuously.
04 — Optimize
🔁
Continuous Optimization
A closed feedback loop moves budget toward what's working within hours, not weeks — bounded by the guardrails and approval matrix your organisation defines.
Complete lifecycle coverage Planning→ Execution→ Measurement→ Budget→ Feedback loops→ Close 11 end-to-end user journeys in the SAVI reference build
Customised by Design

Built Around Your Operating Model.
Not Configured Around a Vendor's.

An agentic platform is only as good as how well it understands your organisation. Every Predikly Martech engagement starts by encoding how you plan, approve, spend, and measure — then builds the agents around it.

Domain model
Your Marketing Ontology
Your campaign hierarchy, program taxonomy, channel definitions, and KPI vocabulary encoded as a typed domain model — so agents reason in your language, not a generic one.
Governance
Your Approval Matrix
Dollar thresholds, risk tiers, and sign-off chains mirror how your marketing and finance leaders actually authorise spend — agents act within them and escalate beyond them.
Execution
Your Channel & Vendor Mix
Integrations with the CRM, marketing automation, ad platforms, and agency workflows you already run — Salesforce, Marketo, HubSpot, Google Ads, LinkedIn and beyond — through governed APIs.
Finance
Your Finance Calendar & ERP
Budget cycles, cost centres, and ERP reconciliation rules built in, so marketing and finance finally close on the same numbers at the same time.
Data
Your Data Estate
Built on the platform you've already invested in — Databricks, Snowflake, BigQuery, or PostgreSQL — with your catalog, lineage, and residency rules respected from day one.
Compliance
Your Brand & Regulatory Rules
Brand guidelines, claim restrictions, and industry regulation turned into guardrails and validator agents that check content and offers before anything goes live.
Agentic Capabilities

Five Agent Classes.
Full Marketing-Operations Coverage.

Select any capability to explore what it owns, how it works, and what changes when it's deployed inside your marketing organisation.

How It's Built

A Five-Layer Agent Architecture.
Not a Chatbot Bolted onto a CRM.

Every platform we build is orchestrated, not ad hoc — a layered agent holarchy where intent is routed, context is managed, specialists execute, and validators enforce guardrails before anything reaches a human or touches a budget.

L1
Orchestrator · 1 agent
Intent Routing
A single orchestration agent parses intent, routes it to the right mode or domain, and aggregates the response — planning, execution, measurement, or optimisation.
L2A
Mode agents · 3 agents
Context Switching
Home, Plan, and Workspace mode agents keep each user in the right context as they move between strategic planning and day-to-day programme work.
L2B
Domain agents · 14 agents
Domain Ownership
Domain agents hold deep context across Programs, Campaigns, Budget, Goals, Market Intelligence, and Measurement — specialists, not one generalist stretched thin.
L3
Specialists · 11 agents
Analytical Expertise
Specialist agents cover marketing-mix modelling, retrieval-augmented generation over your own data, GraphRAG, multi-touch attribution, forecasting, and content.
L4/L5
Worker & Validator
Execution & Guardrails
Worker agents execute tasks and drive continuous improvement; validator agents enforce budget limits, confidence thresholds, and approval requirements before any recommendation reaches a human or a live budget.
Claude API LangGraph GraphRAG Model Context Protocol (MCP) Databricks · Delta Lake Unity Catalog Apache Spark Bayesian MMM (PyMC)
Architectural Choices That Matter

Four Design Principles
Legacy Platforms Can't Retrofit.

These choices are made in the foundation of the platform. You can't add them later to a tool that was designed around sequential planning, monthly batch reporting, and point forecasts.

01
Planning = Optimization
The marketing-mix modelling layer is the default processing fabric, not an optional add-on. Every allocation is optimised automatically as it's planned.
02
Real-Time Attribution Loop
Within hours from a sales event to an updated recommendation — versus the 30–45 days legacy reporting takes.
03
Continuous Reconciliation
Sub-minute streaming variance detection replaces month-end batch close. Know your variance as it happens, not at close.
04
Bayesian Uncertainty
95% credible intervals on every projection. You see your confidence, not just your forecast — and low-confidence calls route to a human.
Proof, Not a Pitch Deck

We Didn't Just Design This Category.
We Shipped It.

Engineering SAVI: An Agentic AI Marketing Intelligence Platform
🚀 Featured Engagement
SAVI: An Agentic AI Marketing Intelligence Platform

For a marketing technology innovator running on 15+ disconnected systems, Predikly designed and engineered SAVI — an Artificial Specialized Intelligence (ASI) platform orchestrating 17+ specialized AI agents across a five-layer holarchy, unifying planning, execution, measurement, and budget optimisation into one continuous, real-time source of truth.

"Your tool allows both macro-level planning with finance and micro-level planning at the marketer level."
Read the Full Case Study →
87.5%
Planning cycle reduction — 14–16 weeks to ~2 weeks
95%
Reallocation time cut from weeks to hours
30×
Faster attribution — monthly to real-time
<2%
Budget variance, down from 4%
300+ hrs
Reclaimed per marketer, per year
520%
Projected 3-year ROI
Build vs. Buy

Why a Custom Agentic Platform
Beats Another Suite.

Packaged Martech suites now ship embedded AI assistants — useful, but bounded by the suite they live in. A purpose-built agentic platform sits above your whole stack and is shaped around your operating model.

Governance & Trust

Enterprise-Grade Controls,
Because This Touches Budget.

A platform with authority over marketing spend and customer data demands governance built in from day one — not bolted on when compliance asks. This is standard on every engagement, not an add-on.

🔐
Identity & Access
OAuth 2.0 and SAML SSO for authentication, with role-based access control enforced through your data catalog — so marketing, finance, and agency partners each see only what they should.
OAuth 2.0SAML SSORBAC
🛡️
Data Protection
AES-256 encryption at rest and TLS 1.3 in transit across every layer of the platform, from raw campaign data through to the recommendations your team acts on.
AES-256TLS 1.3Data residency
🚧
AI Guardrails
A two-layer guardrail system enforces automatic budget limits and confidence-score requirements — no agent moves spend outside boundaries your team defines.
Budget limitsConfidence thresholds
👤
Human-in-the-Loop
You stay in control. A structured approval matrix routes higher-stakes decisions to a person — AI amplifies your judgement, it never replaces it.
Approval matrixEscalation paths
📋
Standards Alignment
Platforms are architected to align with ISO/IEC 42001 and the NIST AI Risk Management Framework — the frameworks your risk and compliance teams already recognise.
ISO/IEC 42001NIST AI RMF
🗂️
Audit Lineage
Every recommendation and every budget decision is traceable end-to-end, with full audit lineage retained for seven years — built for organisations where marketing spend gets audited.
Full lineage7-year retention
Where This Applies

Custom Marketing Automation,
Built for How You Actually Operate.

Every organisation's marketing operating model is different — approval chains, channel mix, regulatory constraints. We design the platform around yours, not the other way around.

Enterprise B2B
Unified Demand Generation Planning
Multiple product lines, regions, and channels planning in isolation. Agents unify planning and budget allocation across the portfolio, with scenario simulation replacing quarterly guesswork.
Cross-portfolio planningScenario simulation
Retail & CPG
Multi-Brand Campaign Orchestration
Dozens of brands and SKUs running campaigns across paid, owned, and retail media simultaneously. Agents orchestrate execution and reconcile spend across brand P&Ls in real time.
Multi-brand orchestrationReal-time reconciliation
Financial Services
Compliant Marketing Automation
Marketing content and offers that must clear regulatory review before activation. Agents route content through compliance checkpoints automatically, with a full audit trail on every approval.
Compliance routingFull audit trail
Healthcare & Pharma
Regulated Content & Attribution
Marketing claims and channel mix constrained by regulatory frameworks. Agents enforce content guardrails while still delivering real-time attribution across HCP and patient channels.
Regulated contentHCP & patient channels
Marketing & Finance
Marketing–Finance Budget Reconciliation
Marketing and finance reconciling spend once a month with two versions of the truth. A continuous reconciliation engine replaces month-end close with sub-minute variance detection.
Continuous reconciliationShared source of truth
Cross-Industry
Legacy Martech Stack Modernisation
An existing stack of CRM, marketing automation, ad platforms and a data warehouse that never quite talk to each other. Agents integrate with what you already run — no rip-and-replace required.
No rip-and-replaceExisting stack integration
Path to Production

Your Path to
Marketing Transformation.

A phased, de-risked journey from discovery to scaled deployment — with success metrics that tighten at every phase, so you see value before you commit to the next one.

Phase 1 — Discovery
Map & Align
Stakeholder workshops across marketing, finance, and operations. Current-state workflow mapping, stack and data assessment, ontology scoping, and a business case.
Phase 2 — Develop
Design & Build
Agent architecture, domain model, and data foundation built with our agentic delivery model — integrated with your existing systems from the first sprint.
Phase 3 — Pilot
Prove It Live
Real programs, real budgets, real marketers — in a bounded pilot with human-in-the-loop controls, measured against agreed success metrics.
Phase 4 — Deploy & Scale
Roll Out & Improve
Production rollout across regions and teams, with model-health monitoring, drift detection, and continuous improvement built into operations.
Budget variance
3.5% → 2.5% → <2%
Agent response (P95)
<3s → <2s → <1.5s
AI hallucination rate
<10% → <7% → <5%

Success-metric targets shown as the SAVI reference trajectory across pilot, rollout, and scale. Timelines and targets are agreed per engagement.

For Your Leadership Team

What This Means
in the Room That Matters

For the CMO
Prove marketing's contribution to ARR. Questions that once began with "we think" get answered with "the data shows." Planning cycles compress from months to weeks, and budget follows performance in near real time — so your team spends its energy on strategy, not spreadsheet reconciliation.
For the CFO
Marketing spend stops being a black box. Continuous reconciliation between marketing and finance shrinks unexplained variance, and every allocation decision carries a documented, auditable rationale — with credible intervals showing exactly where incremental dollars drive incremental returns.
For the CIO / CISO
This isn't a SaaS tool with a vague data policy — it's a platform architected with your identity provider, your data catalog, and your governance framework from the first design conversation. Full audit lineage, RBAC, and standards alignment are there before the first agent runs.
For Marketing Leaders & Managers
AI fills data fields from historical programs, shows a confidence score on every suggestion, and asks for fewer than ten manual inputs. Scenario planning with what-if analysis and automated variance alerts give your team back hundreds of hours a year for creative strategy.
How We Engage

Three Ways to Start

We meet you where your marketing operations sit today — whether you're layering intelligence onto an existing stack, or building the platform from scratch.

Discovery
01
Martech Intelligence Assessment
We map your current planning, execution, and measurement workflows across your existing stack, quantify where the biggest agentic opportunity sits, and build a defensible business case for your CFO.
Modernise
02
Agentic Layer on Your Existing Stack
Keep your CRM, ad platforms, and marketing automation. We design and engineer the agentic intelligence layer on top — integrating with what you already run, with no rip-and-replace required.
Greenfield
03
Custom Platform, Built From Scratch
A purpose-built marketing intelligence platform for your organisation — the way we built SAVI. GenAI-first architecture, agentic from the first line of code.
Three weeks from handshake to kick-off. Executive alignment → half-day stakeholder workshop with your marketing and operations teams → business case & SOW → kick-off and discovery begins.
Next Step

Let's Talk About Your
Marketing Automation Platform.

A direct conversation about where your marketing stack sits today, where the gaps are between planning, execution, and measurement, and whether a custom agentic Martech platform is the right investment for your organisation.

Book a CXO Briefing See the SAVI Case Study

Direct conversation. No pitch decks. No intermediaries.