Softment

AI Development

AI Chatbot Development

We build AI chatbots that ship like real product features: grounded answers, clear escalation paths, and integrations that solve actual workflows. You get measurable quality, safe defaults, and a handoff your team can maintain. Delivery aligned to Germany teams (EUR).

TimelineTypical: 2–5 weeks (scope-dependent)
Starting at$1.2k
Security-first AI integrations • Evals + logging + guardrails included

Overview

What this service is

This service delivers an AI chatbot embedded in your product (or internal tools), designed around specific user journeys: support, lead capture, onboarding, or knowledge search.

We ground responses in your content via RAG, connect tools for actions, and implement safe fallbacks and escalation when confidence is low.

Delivery includes conversation analytics, evaluation checks, and documented configuration so you can iterate safely post-launch.

Standard

AI delivery standard

Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.

Logging + tracing

Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.

Guardrails + safety

Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.

Evals + regression tests

Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.

Cost + latency controls

Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.

Documentation + handoff

Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.

Security-first integration

Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.

Benefits

What you get

Reduce support load with grounded answers

Capture leads with structured qualification flows

Integrate actions (tickets, CRM updates, scheduling)

Increase trust with citations and safe fallbacks

Improve over time via evals + analytics

Protect privacy with access and PII controls

Features

What we deliver

RAG grounding with citations

Answers are grounded in your docs with citations/excerpts and safe behavior when sources are weak.

Tool calling and workflow actions

Create tickets, update CRM fields, fetch order state, schedule meetings, and trigger webhooks via allowlisted tools.

Escalation + agent assist

Smooth human handoff with a summary, extracted fields, and full conversation context so agents don’t restart.

Conversation UX that converts

On-brand UI, suggested prompts, error/empty states, and structured forms for high-intent flows.

Quality monitoring + eval tests

Regression checks, feedback loops, and dashboards so you can improve answers and reduce failure modes.

Safety + privacy controls

PII handling, rate limits, prompt injection defenses, and role-based tool access to keep behavior predictable.

Process

How we work

1
2–4 days

Discovery

Define use cases, sources, and success metrics.

2
3–6 days

Design

Conversation UX, tools, and fallback rules.

3
2–4 weeks

Build

RAG + integrations + UI implementation.

4
3–7 days

Evals

Quality tests, analytics, and iteration loop.

5
2–4 days

Launch

Rollout, monitoring, and handoff.

Tech Stack

Technologies we use

Core

OpenAI / AnthropicRAGVector databasesFunction calling / tools

Tools

LangChain / SDK-firstNext.js / ReactTypeScriptNode.js

Services

Sentry / tracingWebhooks / integrations

Use Cases

Who this is for

Customer support chatbot

Answer FAQs from your docs and policies, create tickets when needed, and escalate with a clean summary.

Lead qualification assistant

Collect requirements, score leads, and route to the right owner with CRM updates and scheduling hooks.

Internal enablement bot

Search SOPs, onboarding docs, and product knowledge with citations and access-aware retrieval.

Onboarding and product guidance

Guide users through setup, explain features, and reduce time-to-value with contextual help.

Ops and triage assistant

Summarize issues, route to the right team, and attach structured context to tickets and tasks.

AI Case Examples

Micro case studies (anonymous)

A few safe examples of outcomes we build for real operations—no client names, just results.

Secure Mobile Solution in Australian Defence Ecosystem

Problem: Secure data workflows were required in a regulated environment with strict access controls.

Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.

Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.

AI Knowledge Base Across 2,000+ Pages

Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.

Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.

Outcome: Reliable answers with <10s response times and measurable improvements on real queries.

Ops Automation with AI + n8n

Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.

Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.

Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.

FAQ

Frequently asked questions

Yes. We integrate with CRMs and support tools via APIs or webhooks and restrict actions via allowlists, RBAC, and approvals when needed.

Yes. We can ship web-first and then extend to Slack/WhatsApp depending on provider constraints and compliance requirements.

We ground answers in your sources (RAG), require citations, add low-confidence fallbacks, and run evaluation tests against real queries.

Yes. We track useful metrics like resolution rate, escalation rate, top queries, and failure modes so you can improve continuously.

Yes. Tool access is allowlisted and role-aware. You can require approvals for sensitive actions and restrict the bot to read-only modes where needed.

Your goals, sample questions, knowledge sources, and the systems you want the bot to connect to (if any).

Regional

Delivery considerations for your region

Compliance & Data (EU)

For Germany/EU delivery, we keep GDPR-first patterns: data minimisation, purpose-limited storage, and explicit access boundaries.

We can work under a DPA (template available on request) and implement pragmatic retention/deletion flows when needed.

  • GDPR-first architecture patterns (generic, no legal claims)
  • DPA template available on request
  • Retention/deletion and export flows where required
  • Least-privilege access and safe logging defaults
  • Documented data flows and access boundaries

Timezone & Collaboration (EU)

We align to EU working hours with CET-friendly collaboration windows and async progress updates.

We keep delivery predictable: weekly milestones, documented decisions, and clear scope control.

  • EU overlap with CET-friendly windows
  • Async-first delivery with written decisions
  • Weekly milestone demos and progress checkpoints
  • Clear change control to avoid surprises
  • Escalation path for blockers and risks

Engagement & Procurement (EU)

We support procurement-friendly engagements with clear scopes, milestone plans, and documentation that stakeholders can review.

For EU teams, we can structure invoices and milestones for EUR-based engagements where appropriate.

  • EUR-based engagements and invoicing options
  • Discovery-first option to reduce delivery risk
  • Milestone-based billing and scope sign-offs
  • Vendor onboarding documentation on request
  • Transparent change control and approvals

Security & Quality (EU)

We prioritise reliability: reviewable PRs, predictable releases, and tests that protect critical paths.

Performance budgets and clear release discipline keep the product stable as it grows.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Release checklist + rollback-safe deployments
  • Security checklist for auth and sensitive data flows
  • Observability hooks (logs + error tracking) ready for production
Ready to start?

Want help with AI chatbot development?

Book a service call with Germany timezone overlap (EU overlap (CET/CEST-friendly)). EUR-based engagements.

Reply within 2 hours. No-pressure consultation.