How to Hire Developers That Actually Deliver Results
Already live with a reference client. Not a proposal.
Your Team Knows the Answer Is Somewhere. We Make It Instantly Findable.
HireDeveloper.dev delivers custom AI assistant development for enterprise teams using retrieval augmented generation (RAG). Your team asks questions in plain English and receives sourced answers grounded on your internal documents and live CRM data.
Already in production for a paying client
Governed from day one
Delivered on a fixed scope
SOC 2 Aligned Delivery
ISO 27001 Aligned Controls
Live Reference Client
UK · USA · India · Italy
The problem.
The knowledge your team needs exists. Accessing it takes too long. A new hire searches for onboarding documentation. A sales lead needs deal history before a call. An operations lead spends twenty minutes locating an answer buried in a PDF uploaded months ago.
This is not a training problem. It is a knowledge access problem. At £60 to £120 per hour for knowledge workers, the cost compounds daily.
Most leadership teams tolerate it because they have never seen a governed, production AI assistant operating inside their own environment.
Documents Scattered Across Too Many Platforms
Product specs, SOPs, onboarding guides, and contracts live across Google Drive, Notion, SharePoint, Confluence, and email threads. Without structured AI document search, retrieval depends on memory and persistence.
Senior Time Spent Answering Repeated Questions
Experienced team members answer the same internal questions repeatedly. A properly architected retrieval augmented generation system resolves those questions in seconds with citations.
CRM Data That Requires Manual Retrieval
Deal histories and lead records sit inside your CRM. Accessing them requires logging in, filtering, exporting, and formatting before every meeting. Most teams skip the step and operate on memory. A private AI assistant with CRM integration removes that friction entirely.
Seen Enough to Know This Is Your Problem?
You do not need a workshop. You need to see the architecture.
Book a 30 Minute DemoWe will map out what your version would look like in the first conversation.
The solution.
We provide custom AI assistant development using retrieval augmented generation (RAG). The system retrieves answers directly from your documents and connected data sources before generating a response.
This is not a generic ChatGPT integration. It is a private enterprise AI assistant grounded on your business.
Your data is never used to train public models. Private endpoint deployment and Azure OpenAI options are available.
Your team receives:
- Sourced answers with citations
- Configurable confidence thresholds
- Clear fallback when the answer is unavailable
- Role based access control
- Full audit logging
Document Retrieval With Source Citations
Upload PDFs, Word documents, SOPs, contracts, and guides. The AI knowledge base indexes and retrieves answers with source citations in seconds. Users see not just the answer but exactly where it came from.
Plain English CRM Querying
Ask your CRM in plain English and receive a structured answer without writing queries or exporting data. Deal histories, lead records, and pipeline summaries are accessible through the same governed interface.
Governed External Website Chatbot
Deploy an external AI chatbot powered only by approved public content. Internal documents and CRM data remain inaccessible. Enterprise governance is built into the architecture, not bolted on after launch.
Access Controls and Audit Logs by Default
Every build includes role based access, internal and external content separation, tenant isolation, query audit logs, SOC 2 aligned architecture, and ISO 27001 aligned controls.
From Kickoff to Production in 4 to 8 Weeks
1
Connect Your Content
We integrate your documents, knowledge base, and CRM. PDFs, Word files, spreadsheets, scanned documents via OCR, and optional vision processing are supported.
2
Ingest, Index, and Secure
Content is processed into governed retrieval chunks and stored in a private vector database. Metadata controls visibility, access roles, and tenant scope. This forms the retrieval augmented generation layer.
3
Your Team Asks Questions
Authorised team members ask questions in plain English. They receive sourced answers in seconds. No hallucinations. No invented responses. If the system does not know, it says so.
4
You Manage and Evolve
Upload, update, or remove documents through the admin panel. Content is reindexed within minutes. Usage analytics and audit logs remain accessible at all times.
Ready to See This Running in a Real Business?
Our reference client is live. The architecture is proven.
Book Your Free Demo NowCustom AI Assistant Already Live in a Mid Market SaaS Business.
The Situation
- Weekly hours lost to knowledge retrieval
- CRM data required manual access
- Senior staff answered repeated questions
- Leadership required governed AI
What We Built
- Document retrieval
- Live CRM querying
- Internal team interface
- Governed external chatbot
- Role based access
- Multi tenant architecture
- Full audit logging
Results
- Internal and external chatbot live within weeks
- Zero developer involvement for content updates
- Measurable weekly hours saved
- Governance documentation at go live
Fixed Scope Pricing.
Every engagement is scoped and delivered at a fixed price. No hourly billing. No surprise invoices.
Starter
$8,000 to $12,000
$8,000 to $12,000
- Internal document retrieval
- Up to 500 documents
- Source citations
- Admin panel
Most Requested
Full AI Assistant
$18,000 to $28,000
6 to 8 week delivery
- Document retrieval
- CRM integration
- Internal AI assistant
- External governed chatbot
- OCR and vision processing
- Audit logs and analytics
- SOC 2 and ISO aligned architecture
Enterprise Custom
$40,000+
Scoped individually
- White label options
- Multi tenant resale
- Advanced integrations
- Azure OpenAI deployment
- Dedicated engineering pod
Monthly Retainer: $1,500 to $3,500 for ongoing maintenance, optimization, and infrastructure management.
ROI Model
At $60 to $120 per hour, 30 minutes per day across 10 knowledge workers costs between $78,000 and $56,000 annually.
Full AI Assistant builds start at $18,000. The return is measurable before the project begins.
What Separates Production AI From a Proof of Concept
Live Reference Client
Already in production. Not a demo. Not a prototype.
Governance From Day One
SOC 2 aligned. ISO 27001 aligned. Built in, not bolted on.
Fixed Scope Delivery
Defined brief. Fixed cost. Clear milestones. No hourly billing.
Multi Geography Engineering
UK, India, USA, Italy. 150+ engineers. 100+ enterprise clients served.
Most Organisations Exploring Enterprise AI Have Not Yet Shipped Anything in Production
We build private AI assistants using retrieval augmented generation, grounded on your documents and CRM data, delivered on a fixed scope. Already live for a paying client. We have capacity for three new builds this quarter.
No obligation
No generic pitch
Direct scope clarity
No obligation. No generic pitch. Direct scope clarity.
Get in Touch
Tell us about your requirements and we will respond within one business day.
Frequently Asked Questions
What is a custom AI assistant and how does it differ from ChatGPT?
A custom AI assistant is a private, governed system built on your own documents and data. Unlike ChatGPT, it does not use public training data and never exposes your information externally. Every answer is grounded on your internal content with source citations. Your data remains private and is never used to train public models.
How does retrieval augmented generation (RAG) work?
RAG retrieves relevant content from your indexed documents and data sources before generating a response. This ensures answers are grounded on your actual business information rather than general knowledge, reducing hallucinations and providing source citations for every answer.
Is my data safe? Will it be used to train AI models?
Your data is never used to train public models. All processing happens within a private, governed environment. We offer private endpoint deployment and Azure OpenAI options for organisations with strict data residency requirements. SOC 2 and ISO 27001 aligned controls are included in every build.
How long does it take to build a custom AI assistant?
A Starter build with internal document retrieval takes approximately 4 weeks. A Full AI Assistant with CRM integration, external chatbot, and governance features takes 6 to 8 weeks. Enterprise custom builds are scoped individually based on complexity and integration requirements.
Can the AI assistant connect to our existing CRM?
Yes. The system integrates with your CRM to enable plain English querying of deal histories, lead records, and pipeline summaries. Your team accesses CRM data through the same governed interface without writing queries or exporting data.
What document formats are supported?
We support PDFs, Word documents, spreadsheets, SOPs, contracts, and guides. Scanned documents are processed via OCR, and optional vision processing is available for complex layouts and diagrams.
Do we need internal developers to maintain the system?
No. The admin panel allows nontechnical team members to upload, update, or remove documents. Content is reindexed within minutes. Usage analytics and audit logs are accessible without developer involvement.