We add AI to the systems you already run: chatbots that answer customer questions, tools that read and sort documents, assistants that qualify leads, and workflows that summarise or draft content with large language models. We focus on practical use cases with a human checkpoint where it matters, not AI for its own sake.
Fig. 1 — Ingestion, LLM orchestration with human guardrails & structured data delivery
§1
What we deliver
CHATBOT
Domain-Specific ChatbotsWebsite and WhatsApp assistants trained on your product catalog, service policies, and FAQs that answer questions accurately without making up details.
DOCS
Document & Invoice ProcessingAutomated ingestion pipelines that extract line items, totals, dates, and vendor details from PDFs and images directly into spreadsheets or databases.
LEADS
Intelligent Lead QualificationInbound inquiry evaluators that score buyer intent, enrich contact details, and categorize leads before notifying your sales team.
SUMMARIES
LLM Summaries & Draft GenerationAutomated draft replies to common client emails, customer support summaries, and weekly meeting digests created directly in your workspace.
RAG
Internal Knowledge RetrievalSearchable knowledge bases that allow your team to query internal operating manuals, legal specs, or technical documents in plain English.
§2
Who we build for
D2C & E-Commerce Stores
Stores needing 24/7 customer assistance on product sizing, shipping questions, and order lookups without hiring overnight shifts.
Professional Firms & CAs
Accountants and legal studios dealing with hundreds of incoming bank statements, invoices, and documents needing structured extraction.
Agencies & Consultancies
Teams needing automated client brief summaries, proposal drafts, and research synthesis across large document sets.
Hospitality & Service Venues
Cafés, clinics, and hotels managing high-volume WhatsApp questions regarding bookings, menus, and operating hours.
§3
Data privacy and security
How we handle your business data
We prioritize privacy and data ownership. When we integrate AI models (such as OpenAI, Anthropic, or open-source weights), we configure zero-retention API agreements where available so your proprietary business information is never used to train public foundation models. Where sensitive customer details are involved, we implement client-side data masking and human approval checkpoints.
Identify repetitive language or document tasks with high manual hours.
02
Design
Draft prompt structures, test system boundaries, and establish fallbacks.
03
Integrate
Connect model APIs to your website, CRM, or document folders.
04
Validate
Deploy with human review safeguards and latency tracking.
Human checkpoints by design — we never let autonomous bots perform high-stakes financial or legal actions without human approval.
§6
Questions, answered
Commercial APIs (such as OpenAI API or Anthropic API) operate under strict terms where customer payload data is not used to train models. For highly sensitive records, we scrub identifying personal details before the prompt is sent, or integrate self-hosted models on your private cloud.
AI providers charge per token (fractions of a cent per request). For most small to mid-size businesses handling customer chats or document extraction, monthly API costs typically range from a few dollars to modest amounts based strictly on usage. We establish hard spend caps to avoid surprise charges.
We restrict the model's knowledge strictly to your provided documentation and set clear system instructions to reply "I do not know" when documentation is missing. Structured JSON schemas ensure outputs conform to predictable data models.
Yes. We build webhook bridges connecting LLMs directly to WhatsApp Business APIs, web contact forms, Google Sheets, or CRM databases such as Zoho or HubSpot.
A standard document parser or knowledge-base chatbot typically takes 1 to 2 weeks to scope, test, and integrate into your existing workflow.