Our Offerings

AI Agents

Autonomous Assistants

Agents that plan and execute tasks end-to-end with human-in-the-loop controls.

Autonomous assistants working alongside people
Where it helps
  • Finance: AP/AR matching, close prep
  • Operations: work orders, inventory checks
  • IT: incident triage, runbook execution
  • CX: case routing, summaries, refunds
Capabilities
  • Goal → plan → act loops
  • Tool use (APIs/RPA)
  • Exception handling
  • Compliance checks
  • Audit trails
What you get
  • Use-case specs
  • Action catalog
  • Permission models
  • Workflow graphs
  • Rollout playbook
  • Dashboards
Measured by
  • Cycle time
  • Manual touches
  • First-contact resolution
  • SLA attainment
AI Agents

Multi-Agent Orchestration

Specialized agents that collaborate, planner, researcher, executor, reviewer, coordinated over shared memory and tool layers.

PlannerResearcherExecutorReviewer
Multi-agent orchestration in a control room
Where it helps
  • Complex workflows: procure-to-pay, S&OP
  • Claims processing
  • Multi-system reconciliations
  • Cross-team handoffs
Capabilities
  • Role-based agents
  • Delegation & coordination
  • Shared memory / blackboard
  • Confidence arbitration
  • Guardrails & policies
What you get
  • Orchestration topology
  • Tool adapters
  • Agent role cards
  • Safety policies
  • Evaluation harness
Measured by
  • Handoff errors
  • Throughput
  • Exception backlog
  • Accuracy / consistency
AI Agents

Realtime & Multimodal AI

Voice/vision/action agents that understand scenes and respond instantly.

VoiceVisionAction
Realtime multimodal AI visual
Where it helps
  • Field ops: visual inspections, parts ID
  • Control rooms: alarm triage, SOP recall
  • Support centers: voicebots with RTA guidance
Capabilities
  • Streaming ASR/TTS
  • Vision over camera feeds
  • On-the-fly SOP lookup
  • Low-latency actioning
What you get
  • Latency budget design
  • Device/runtime selection
  • Prompt/policy packs
  • Monitoring for hallucination/latency
Measured by
  • Handle time
  • Mis-routes
  • Safety incidents
  • Agent CSAT
AI Agents

AI for Decisioning

Rules + ML + LLM reasoning working together with clear accountability.

AI decisioning interface
Where it helps
  • Pricing optimization
  • Routing & scheduling
  • Demand forecasting
  • Risk & fraud scoring
  • Credit decisions
Capabilities
  • Hybrid decision stacks
  • Policy rules + ML models
  • LLM rationale generation
  • Scenario testing
  • Confidence & overrides
What you get
  • Decision tables
  • Model cards
  • Guardrails & thresholds
  • Reason codes
  • Shadow-to-live rollout plans
Measured by
  • Forecast MAPE
  • Margin
  • Route utilization
  • False positives/negatives
AI Agents

RAG & Knowledge AI

Private, policy-aware retrieval over your docs, ERP/CRM data, and SOPs, so agents answer with evidence.

Citation-First Approach
Knowledge AI control center
Where it helps
  • Operations playbooks
  • Legal & compliance queries
  • Sales enablement
  • Engineering runbooks
Capabilities
  • DMS/ERP/CRM connectors
  • Chunking & embeddings
  • Citation enforcement
  • Policy filters by role/region
What you get
  • Knowledge schema
  • Indexing pipeline
  • Access policies
  • Citation-required prompts
  • Freshness SLAs
Measured by
  • Answer accuracy
  • Citation coverage 100%
  • Search time
  • Policy violations → 0
AI Agents

Edge / On-Device AI

Inference where the work happens, plants, retail floors, vehicles, handhelds.

Edge device AI interface
Where it helps
  • Quality inspection
  • Shelf & asset checks
  • Safety PPE validation
  • Offline field apps
Capabilities
  • Compressed models
  • Offline caches
  • Secure sync
  • Device management
  • Privacy-first design
What you get
  • Model selection/quantization
  • Deployment images
  • Telemetry pipelines
  • Remote update capability
Measured by
  • Latency (p95)
  • Offline continuity
  • Bandwidth cost
  • Detection precision/recall

Cross-Cutting Governance & Safety

Baked into every deployment

Human-in-the-Loop

Approval gates, fallbacks, and escalation paths

Policy Engine

PII redaction, data residency, role/geo constraints

Observability

Agent traces, tool-use logs, confidence scores

Evaluation & Red-Team

Golden sets, A/B evals, jailbreak/harm tests

Auditability

Immutable logs, reason codes, reproducible configs

Architecture Patterns We Use

Production-ready infrastructure for AI systems

Tool Layer
API/RPA adapters to ERP/CRM/DMS/ITSM
Decision Stack
Rules engine + ML + LLM reasoning
AI Robot
CI/CD for AI
Prompt versioning, staged rollouts
Memory & Knowledge
Vector stores + relational context
Infrastructure
  • • Queue/event bus for reliability
  • • Short/long-term memory with TTL
  • • PII policies & data residency
Deployment
  • • Feature flags & canary releases
  • • Offline/online evaluations
  • • Version control for prompts

Typical Deliverables

Complete documentation and tools for your AI deployment

Use-case charter

Scope, objectives, and business alignment

Agent specs & prompts

Detailed roles, guardrails, and prompt libraries

Evaluation suite

Success metrics, golden sets, regression tests

Runbooks & training

Operations guide, team enablement, L1/L2 playbooks

Risk & policy register

Compliance checklist, risk mitigations, approvals

Tool adapters

Integrations to ERP/CRM, data connectors, APIs

Dashboards

Throughput, accuracy, savings, and drift monitoring

Includes stakeholder workshops & change management support

Success Metrics We Track

Finance

  • Days to close
  • Journal rework rate
  • Aged receivables
  • Cash conversion cycle

Supply Chain

  • OTIF
  • Inventory turns/accuracy
  • PO cycle time
  • Stock-out rate

Automation

  • Manual touchpoints/order
  • Exception rate
  • SLA attainment

Integration

  • Failed message rate
  • Recovery time
  • End-to-end latency

Adoption

  • Active users
  • Task completion time
  • Training completion & CSAT
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