Deliverable 01
Custom AI agent development
Custom AI agent development
Agentic AI · custom-built
Custom AI agents that automate work, respect security, and integrate with real systems.
BAP designs AI agents as autonomous systems that reason, learn and act — built on LangChain, LlamaIndex, OpenAI, private LLMs and Langflow. We hybrid-wire them into your CRM, ERP and document systems so the agent can act on real production data, not isolated snippets.
Why this service · outcome band
From blocked customer support to transformed operations.
Most enterprises sit on years of trapped knowledge, manual ticket triage, and over-stretched contact centres. BAP's AI Agents service replaces that backlog with an always-on workforce that humans supervise — not replace.
est.
reduction in tier-1 workload within 6 months
tuần
to first scoped pilot agent live
coverage in EN · JP · KR · VN
Outcome figures are based on BAP's published service description and project profile. Each engagement targets a customer-defined baseline.
Scope · 6 BAP deliverables
Six BAP deliverables inside this single service line.
BAP's published scope for AI Agents Development. Each item is independently deliverable; together they form a full-stack capability.
Deliverable 02
Hybrid AI integration
Connect CRM, ERP, ITSM and document tools so agents act on real data: ticket create/update, PO/Invoice OCR, KB retrieval, account lookups, escalations.
Deliverable 03
Toolchain & infra consulting
LangChain, LlamaIndex, OpenAI, private LLMs, Langflow — BAP selects the right combination per workload, not a one-size-fits-all default.
Deliverable 04
Security & compliance
On-prem deployments, private LLaMA 3 clusters, encrypted endpoints, role-based access, tenant segregation and audit trails.
Deliverable 05
Multilingual delivery
EN / JP / KR / VN delivery teams are explicit on BAP's AI Agents materials. Native Japanese PM oversight on regulated engagements.
Deliverable 06
Trusted customer base
BAP public materials name Hitachi, KPMG and Rakuten as enterprise customers — proof that BAP's agents clear regulated procurement review.
Use cases BAP ships today
Four enterprise workflows with proven BAP agents.
Customer support agent
24/7 chat and ticket-resolution flows. Pulls answers from the knowledge base, opens/updates tickets in the ITSM, escalates to humans with full context. Cuts tier-1 backlog without sacrificing service quality.
Outcome target · ↓30–50% tier-1 workload
Research assistant
Extracts, summarises and generates reports from enterprise documents. BAP has shipped research agents over ERP data, contracts, regulatory filings, and clinical literature.
Engagement model · outcome-priced
Contract management agent
Clause comparison, risk detection, obligation extraction across multilingual legal documents. Plugs into the customer's DMS; flags deviations from approved playbooks.
Compliance · ISO 27001 + on-prem option
Medical triage agent
Pre-screens symptoms, routes cases to the right clinician summarising patient context. BAP publishes this as a specific scenario inside Healthcare & AI Elder Care.
Deployment · healthcare tenants
How we deliver · 5 phases
Five phases — from kick-off to production run.
Each phase produces a reviewable artefact. The pilot ships in weeks, not quarters.
Phase 1
Discovery
1–2 weeks
Use-case selection, data inventory, success metric agreement, risk and guardrail definition.
Phase 2
Architecture
1 week
Model selection, orchestration design, RAG schema, integration endpoints, security policy.
Phase 3
Pilot build
2–3 weeks
First agent wired to live systems. Eval suite runs against gold-set QA. Pilot users onboarded.
Phase 4
Production launch
2–4 weeks
Promote pilot, wire monitoring, apply guardrails, set SLA. Handover documentation ready.
Phase 5
Run & improve
Ongoing
Subscription AMS — eval drift, prompt updates, retraining, agent retirement, capacity tuning.
Technology stack
Languages, frameworks, cloud & tools in our daily stack.
Models · OpenAI · Azure OpenAI · Claude · LLaMA 3
Orchestration · LangChain · LlamaIndex · Langflow
RAG store · Postgres+pgvector · Pinecone · Elastic
Integration · REST · GraphQL · gRPC · SAP/CRM
Deployment · AWS · Azure · GCP · on-prem K8s
Observability · LangSmith · Arize Phoenix · custom eval
FAQ
Real questions we hear from buyers.
1. How fast can BAP ship the first agent?+
A scoped pilot agent is typically live within 4–6 weeks from kickoff. Discovery (1–2 weeks) defines data sources, success metrics and guardrails; orchestration and RAG get wired in by week 3; pilot users see a working agent by weeks 4–6.
2. Where does our data live?+
Choose hosted, private cloud or on-prem LLaMA 3 deployment depending on data residency. For Japanese regulated clients, BAP typically deploys on the customer's Azure tenant or on-prem Kubernetes cluster — never sending raw data to a third party.
3. Which models do you actually use?+
OpenAI, Azure OpenAI, Anthropic Claude, and private LLaMA 3 deployments. BAP selects the model based on cost, accuracy, latency and the customer's data-handling policy — there is no one-size-fits-all default.
4. How is the engagement priced?+
Outcome-priced where possible. We agree an accuracy or deflection target upfront, and sell the agent as a usage-based subscription — per seat, per resolved ticket, or per query — rather than a man-month build.
5. What if accuracy drops below target?+
The production observability stack detects drift within days, not months. BAP's AMS subscription includes prompt updates, retraining and agent retirement as part of the SLA.
6. What languages does the agent support?+
EN / JP / KR / VN delivery teams are explicit on BAP's AI Agents materials. The agent itself can be configured in any language the underlying model handles — we have shipped JP, EN, KO and VN customers live.