FintastIQ
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AI that works where your team already does.

We embed AI-powered commercial automation directly into your existing CRM, pricing systems, and sales workflows. No new platform to adopt. No twelve-month implementation. No pilot purgatory. Your team gets smarter tools inside the systems they already run.

79% of companies are struggling to adopt AI. Half of all AI projects never make it past pilot. The bottleneck is not the technology. It is the implementation. We fix that.

Scope a Custom Build →Start With a Diagnostic

The AI Adoption Problem

Two paths that don’t work. And a third that does.

Most companies trying to adopt AI for their commercial operations hit the same wall. They either build from scratch or buy off the shelf. Both create more problems than they solve.

Build a custom application

Months of development. A dedicated engineering team. Ongoing maintenance burden. Tech debt that compounds. By the time it ships, the requirements have changed. Your commercial team waits while IT builds something that may never fully fit.

Buy off-the-shelf SaaS

Built for the median company. Rigid workflows that don’t match your pricing architecture, deal governance, or customer segmentation. Months of configuration. Another platform your team has to learn, log into, and maintain alongside everything else.

Embed AI into your existing workflows

AI-powered automation that runs inside the CRM, pricing systems, and sales tools your team already uses. No new platform. No codebase to maintain. Trained on your data, shaped by commercial expertise, and operational in weeks.

79%
of companies struggling to adopt AI
50%
of AI projects stuck in pilot mode

What We Build

Agentic workflows, embedded in the systems your team already uses.

💰
Pricing Engine

Deal-specific price recommendations in your CRM

A custom pricing model trained on your transaction history, customer segments, and competitive signals. Surfaces real-time price recommendations and discount guardrails directly inside Salesforce or your CPQ, at the point of deal creation.

Embeds into

Salesforce, HubSpot, CPQ systems

Segment-specific pricing rules and rate card logic
Discount governance with approval routing
Real-time pocket price visibility per deal
Price-volume-mix analysis and scenario modeling
🏛️
Deal Desk Automation

Discount governance without the bottleneck

An automated deal approval workflow that routes exception requests based on margin thresholds, customer tier, and deal size. Eliminates Slack-thread approvals. Ensures every discount decision is logged, reasoned, and defensible.

Embeds into

Salesforce, Slack, email, CRM workflows

Rule-based routing by deal size, margin, and segment
Automated escalation with context attached
Approval audit trail and exception analytics
Weekly margin leakage reporting for leadership
📡
Competitive Intelligence Pipeline

Automated briefings from your competitive landscape

A monitoring and synthesis pipeline that tracks competitor pricing moves, positioning changes, and product launches, then delivers structured briefings to your sales and pricing teams on a cadence you set. No manual research. No noise.

Embeds into

Email, Slack, Notion, internal wikis

Automated competitor price and offer tracking
Positioning change detection and alerts
Weekly intelligence briefs formatted for your team
Deal-specific competitive context for reps in CRM
📈
Expansion Signal Detector

Identify upgrade-ready accounts before they ask

An automation that monitors product usage, contract age, support activity, and engagement signals to surface accounts with high expansion probability. Routes warm upsell opportunities to your CS or sales team with recommended next actions.

Embeds into

CRM, product analytics, CS platforms

Usage-based expansion scoring per account
Automated flag and assignment in CRM
Churn risk identification alongside expansion signals
Monthly expansion pipeline report for CS leadership
📝
Proposal & Quote Automation

On-brand proposals generated from your pricing data

A workflow that pulls from your pricing rules, customer tier, and product configuration to auto-generate tailored proposals and quote documents. Eliminates copy-paste errors, enforces pricing governance, and cuts proposal turnaround from hours to minutes.

Embeds into

Salesforce, CPQ, document generation tools

Template-driven proposal generation from CRM data
Pricing rule enforcement at document creation
Approval gating before external send
Win/loss tracking tied to proposal version
🔍
Win/Loss Intelligence Automation

Pattern recognition across every deal closed

An agentic workflow that synthesises CRM data, call recordings, and rep notes after every deal close to extract structured win/loss patterns. Surfaces findings as weekly coaching prompts, pricing insights, and competitive positioning gaps.

Embeds into

Salesforce, Gong, Chorus, CRM notes

Automated win/loss classification and tagging
Price sensitivity and objection pattern detection
Rep-level coaching signals from closed deal data
Monthly commercial health report for leadership

Experts in the Loop

AI without business judgment is a science project.

The technology is not the hard part. The hard part is knowing what to automate, how your commercial process actually works, and what the AI output needs to look like for your team to trust and act on it. That takes domain expertise, not just engineering.

Our team brings deep experience in pricing strategy, sales operations, and go-to-market execution. We design every workflow with the commercial judgment to make it work — the right data inputs, the right decision logic, the right outputs at the right point in your process. We call this Experts in the Loop: AI shaped by operators who understand your commercial reality.

Pricing expertise

Margin structures, value metrics, discount governance, competitive positioning

AI product strategy

Use case identification, workflow design, data architecture, build-vs-buy evaluation

Sales & GTM

Deal qualification, pipeline mechanics, channel design, customer segmentation

Demand gen

Lead scoring, campaign automation, content targeting, conversion optimization

Our Philosophy

We build to disappear.

Every automation we build is designed for independence. We document the architecture, train your team, and hand over full operational control. You do not need us after delivery. That is the point.

We build pricing engines your RevOps team can tune, deal desk automations your sales ops team can configure, and intelligence pipelines your analysts can operate. Firms that build black-box dependencies are building for their retainer. We build for your independence.

How It Works

Diagnostic first. Build second.

01
Diagnostic First

We run a rapid commercial diagnostic before scoping any build. This ensures we identify the highest-value automation opportunity, not the most visible one.

02
Scope & Design

We define the data inputs, workflow logic, integration points, and outputs. You review and approve before a line of code is written.

03
Build & Integrate

The workflow is built on your data and integrated into your existing stack. We iterate with your commercial team until it runs cleanly.

04
Deploy & Transfer

Live deployment with full documentation, training, and handover. Your team owns and operates it. We build to disappear.

Frequently Asked Questions

How do custom AI workflows embed directly into CRM and pricing systems?
FintastIQ builds AI-powered automation workflows that run inside your existing commercial systems rather than requiring a separate platform. We embed directly into your CRM, CPQ, pricing systems, and sales workflows so your team acts on AI outputs without context-switching or learning new tools. Examples include real-time pricing recommendations surfaced in Salesforce, automated deal desk approvals routed through your existing process, and expansion signal alerts triggered from your product usage data.
Why not build a custom AI application or buy an off-the-shelf AI tool?
Building a custom AI application from scratch creates tech debt, requires ongoing engineering resources, and takes months before your team sees any value. Off-the-shelf AI SaaS tools are built for the median company and rarely fit complex pricing architectures, deal governance rules, or multi-segment go-to-market motions. We take a third path: embed AI-powered automation directly into the systems your team already runs. No new platform to adopt, no codebase to maintain, no eighteen-month implementation timeline.
What does "Experts in the Loop" mean?
Experts in the Loop is our approach to AI implementation. AI without business judgment is a science project. Every automation we build is shaped by commercial operators who understand margin structures, deal governance, customer segmentation, and competitive dynamics. Our team brings deep domain expertise in pricing, sales operations, and go-to-market strategy so the AI does what your business actually needs, not just what the model can technically produce.
What data and systems do you need access to?
We work with your existing stack: CRM (Salesforce, HubSpot), CPQ, ERP, pricing logs, product usage data, and external market signals. All data is handled under NDA. We start with a diagnostic to identify the highest-value automation opportunity before scoping the build.
How long does a custom AI workflow build take?
A focused workflow (a pricing engine, a deal desk automation, a competitive briefing system) typically takes four to six weeks from scoping to live deployment inside your stack. More complex multi-system builds run eight to twelve weeks. We always start with a rapid diagnostic to ensure we build what moves the needle.
Why do so many AI projects fail to get past pilot stage?
Half of all enterprise AI projects are stuck in pilot mode. The bottleneck is rarely the technology itself. It is the implementation: scoping AI to the wrong problem, building outside existing workflows so adoption stalls, or lacking the commercial domain expertise to make the outputs actionable. We solve this by embedding AI directly into your existing systems, scoping from diagnostic findings, and applying deep commercial expertise to every build.

Stop piloting. Start operating.

The right AI automation starts with the right diagnosis. Book a working session and we will map the highest-value opportunity to embed AI into your commercial operations — no new platform, no tech debt, no pilot that never ships.

Book a Working Session →Start With a Diagnostic