AI Automation & AI Product Studio

Build AI systems that save time and create revenue.

TeCodify helps startups and growing businesses automate operations and launch secure, production-ready AI products.

Automate repetitive operations
Launch production-ready AI SaaS
Start with a focused paid pilot

Limited onboarding availability this month · Manchester · Islamabad · Worldwide

Two focused ways to work together

Start with the business outcome, not a technology list

Choose automation for an existing operation or a product build for a new AI SaaS. Our engineering capabilities support both.

Pilots from $2,500

For growing businesses

AI Automation Sprint

Automate repetitive workflows around your existing tools—from lead qualification and CRM updates to documents, support, and reporting.

  • Workflow and AI opportunity audit
  • Focused pilot with a success metric
  • Production integrations and monitoring
Get an AI Opportunity Audit
AI SaaS MVPs from $15,000

For startups and product teams

AI SaaS Development

Take an AI product from specification to a secure, production-ready MVP with the architecture needed to learn, launch, and scale.

  • Product discovery and UX
  • AI, RAG, agents, billing and multi-tenancy
  • Deployment, analytics and post-launch support
Discuss Your AI SaaS

Engineering capabilities behind every engagement

Web platforms
Mobile apps
Backend systems
Cloud & DevOps
Security
Product engineering
Where AI creates value

Turn expensive, repetitive work into a reliable system

We begin with a measurable bottleneck and choose the smallest useful AI intervention.

Sales

Qualify leads, update the CRM, follow up and schedule meetings automatically.

Operations

Extract documents, route approvals and turn fragmented work into a visible process.

Customer service

Classify requests, draft answers and escalate sensitive cases to the right person.

Knowledge

Give teams a secure assistant grounded in company documents and policies.

AI products

Add RAG, agents, recommendations and workflow automation to a SaaS product.

SignalForge AI lead qualification dashboard

Featured AI automation case study

SignalForge AI: lead qualification in seconds

Problem: Manual lead triage slowed response and let high-intent opportunities go cold.

Solution: AI scoring, routing, CRM enrichment and a personalized first response before human review.

92%score accuracy
11sspeed-to-lead
+44%conversion lift
How we work

A low-risk path from bottleneck to business value

Start focused, prove the workflow, then expand only when the evidence supports it.

1

Discovery

Align

We understand the business problem, current workflow, constraints and the metric that will prove value.

2

Workflow / product design

Define

We map the future workflow, integration points, user experience and a focused delivery scope.

3

Paid pilot or prototype

Prove

We prove one defined use case quickly against an agreed success metric before expanding the investment.

4

Production implementation

Deploy

We integrate, secure, test and deploy the validated system into the real operating environment.

5

Optimise

Improve

We monitor outcomes, resolve edge cases and improve the system as usage and business needs evolve.

Products by TeCodify

We build and operate our own AI SaaS

NOVA Research Studio gives our team first-hand experience with product strategy, AI usage, permissions, collaboration and continuous iteration.

Flagship owned product

NOVA Research Studio

An AI-powered workspace for literature discovery, paper analysis, evidence organisation, research gaps, hypotheses, planning, collaboration and report generation.

AI research workflows
Roles & collaboration
Secure access
Production SaaS delivery
Featured work

Selected products with measurable outcomes

A curated selection marked as featured in the TeCodify admin workspace.

Security by design

AI systems your team can operate with confidence

We design around your data sensitivity, access model and operational risk—then document the controls that apply to your system.

How we approach security
Server-side AI integrations
Role-based access
Encryption in transit
Secret and environment isolation
Usage monitoring
Documented data handling

Technology & engineering capabilities

Next.jsReactTypeScriptPythonNode.jsPostgreSQLPrismaTailwind CSSReact NativeOpenAIAWSDockerGraphQLRedisGoRustKubernetesSupabaseVercelStripeNext.jsReactTypeScriptPythonNode.jsPostgreSQLPrismaTailwind CSSReact NativeOpenAIAWSDockerGraphQLRedisGoRustKubernetesSupabaseVercelStripe
Verified delivery proof

Real outcomes from published work

No anonymous hype or invented endorsements—these highlights come directly from TeCodify's published case studies.

Published case study

NovaCast Live

NovaCast Live

The resulting application provides a high-performance environment for creators to host live shows, engage audiences, and monetize content effectively.

50K
Concurrent viewers
1.2s
Stream latency
Review the evidence
Published case study

LearnSphere Academy

Dashboard

An adaptive learning ecosystem that personalizes coursework using performance signals. Includes a teacher dashboard, student mobile companion, and parent progress reports.

+38%
Course completion
24K
Active learners
Review the evidence
Published case study

MetricFlow Billing

Web App

MetricFlow Billing exemplifies TeCodify’s expertise in building robust, secure, and scalable SaaS platforms. It showcases our ability to deliver intuitive analytics, reliable billing systems, and actionable insights that help subscription businesses maximize growth.

$245,680
MRR
1,842
Customer Growth
Review the evidence

Direct client quotes are published only with explicit source approval.

Frequently asked questions

A few useful answers before we talk

Straight answers about our services, locations, process, and ownership model.

What type of AI projects do you build?

We build workflow automation, internal knowledge assistants, AI agents, RAG applications and production-ready AI SaaS products. Web, mobile, cloud and security engineering support those outcomes.

Can you integrate with our CRM and existing software?

Yes. Most automation work connects to the tools a team already uses, including CRMs, databases, document systems, email and internal APIs. Discovery confirms the available integrations before scope is agreed.

How long does an AI pilot take?

A focused pilot is usually scoped around one workflow and one success metric. Timing depends on data and integrations, and is confirmed after the opportunity audit.

How much does an AI project cost?

Small automation pilots typically start at $2,500. Full automation systems commonly begin around $7,500, while production-ready AI SaaS MVPs typically start at $15,000. Final pricing follows a defined scope.

Who owns the code and intellectual property?

Clients own the code, infrastructure, design files, and project deliverables. TeCodify works transparently in client-accessible repositories and systems.

How do you handle confidential data?

We design server-side integrations, access controls, environment separation and data handling around the project’s sensitivity. Provider and retention choices are documented before implementation.

Do you provide post-launch support?

Yes. Engagements can include a handover period, managed AI monitoring and maintenance, or ongoing product engineering.

A practical first step

Ready to automate your business or launch an AI product?

Tell us which process is consuming time or what product you want to launch. We'll recommend a focused first step.