Bookkeeping Automation
Bookkeeping on Autopilot - Document Recognition and Automated Processing
WhatsApp intake, Google Document AI, Supabase - a two-person practice running bookkeeping without manual data entry.
Coming SoonAI and CRM Built for Small Financial Services Firms
Insurance brokers, bookkeeping practices, and mortgage brokers are running relationship-driven businesses on CRM systems that were never built for intelligent decisions. DecisionLayer helps you change that - without hiring a team, without a long consulting engagement, and without starting from scratch.
Book a 30-Minute Call
Starts with your problem. Ends with something working.
Most small financial services firms know they need AI. Most do not know where to start. The ones that try often hit the same three walls.
Nobody documented the process
Every person on the team handles the same workflow differently. Without a consistent process, there is nothing for AI to learn from - and nothing to improve.
The data was everywhere
Client records in one system. Documents in another. History in email. AI cannot work with data it cannot find - or data it cannot trust.
The tool did not fit the firm
Enterprise AI tools built for large firms get forced onto small ones. The complexity is wrong. The cost is wrong. The support is wrong. Small firms need something built for their scale.
These are solvable. But they need someone who understands the business first and the technology second.
HOW WE WORK
Three Ways to Engage
2 WEEKS
Discovery and Diagnosis
Before anything gets built, we understand your business. What workflows are costing you the most time. Where your data lives. What your team actually needs. The output is a clear, prioritised plan - not a generic roadmap.
You leave knowing exactly what to build first and why.
4 TO 6 WEEKS
Build and Deploy
We build the specific thing your business needs - an AI agent, a document automation, a CRM workflow - and deploy it into your existing systems. Your team is trained on it before we are done.
Something running in production. Not a prototype. Not a pilot. A system your team uses every day.
ONGOING
Ongoing Technology Partner
For firms that want someone in their corner on an ongoing basis. Available for questions, decisions, new builds, and vendor evaluation. The technology thinking your firm needs without the full-time hire.
One person who knows your systems, your team, and your goals. Available when you need them.
CASE STUDIES
Problems Solved. Systems Running.
Every engagement starts with a specific problem and ends with something working in production. Here are three from our own financial services practice.
Document Intelligence
Tax Document Ingestion - From Client Upload to Structured Data Automatically
Google Document AI, Firebase, and a Next.js portal that turns unstructured tax documents into clean, usable data.
Coming SoonWeb Development
Financial Services Website - Built and Live in Two Weeks
A full Next.js website for a financial services practice. Designed, built, and deployed.
Read ->THE FRAMEWORK
Is Your Problem Ready for an AI Agent?
Most companies ask whether AI can do something. The better question is whether the problem is ready for AI to do it well. RADAR is a diagnostic framework for exactly that, built from real implementations, not theory.
RADAR readiness score
Score each dimension 1 to 5
Total: 0 / 25
Process clarity
Is the decision consistent and explainable today?
CRM risk: same workflow handled differently by every team member
Data readiness
Are inputs clean, structured, and accessible?
CRM risk: client data split across multiple systems with no single source of truth
Decision boundary
Can you define where reasoning starts, stops, escalates?
CRM risk: edge cases handled ad hoc with no documented escalation path
Recovery tolerance
If wrong, what breaks and how fast do you find out?
CRM risk: no defined boundaries means the agent has no limit on what it attempts
Explainability
Can the agent show its reasoning in business language?
CRM risk: agent recommendation challenged and no audit trail to defend the decision
WHY THIS WORKS
Built by Someone Who Works in This Industry
DecisionLayer is built on years of experience across the full technology cycle - development, business analysis, product management, solution architecture, and enterprise sales. That means every problem gets looked at from every angle - technical, operational, and commercial.
We also run AnchorBridges, a financial services practice covering insurance, bookkeeping, and tax. The AI and CRM systems on this site were built for our own business first. We know they work because we use them every day.
No large firm overhead. No junior staff on your account. The person you speak to is the person who does the work - and they start by understanding your business, not by pitching a solution.
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THE KNOWLEDGE BASE
Latest Thinking
Tax and Bookkeeping
AI for Client Onboarding in a Bookkeeping Practice - What Changes
Onboarding a new bookkeeping client involves a predictable set of steps that most practices still handle manually. Here is what the AI-assisted version looks like.
5 min read · 2025-02-01
Read ?Governance
AI Governance for Small Financial Services Firms - What You Actually Need
Governance sounds like an enterprise concern. It is not. Every firm deploying AI needs three things in place before they go live. Here is what they are.
5 min read · 2025-02-01
Read ?Mortgage
AI for Lender Matching - From Spreadsheet to Intelligent Recommendation
Matching a client to the right lender involves dozens of variables most brokers hold in their heads. Here is what happens when that knowledge is structured and AI-assisted.
6 min read · 2025-02-01
Read ?Not Sure Where to Start With AI in Your Business?
That is the right question. Book a 30-minute call. We will talk through your biggest operational pain, look at where your data lives, and tell you honestly whether AI is the right answer - and if so, where to start.
Book a 30-Minute CallOr email directly: hello@decisionlayer.ca