Process mapping and redesign
We map the real process — including the exceptions and workarounds — before automating any of it.
AI Engineering
Agentic Workflow Automation
Replace brittle RPA and manual handoffs with agentic workflows that reason, act, and escalate when needed.
- 80%straight-through processing achievable
- 5×faster cycle times vs. manual handoffs
- 100%of runs logged for audit
Capabilities
Automation that handles the messy middle
Multi-step automated processes orchestrated by AI agents across enterprise systems.
Tool and system connectors
Reliable integrations into ERP, CRM, email and legacy systems, built for retries and idempotency.
Exception handling
Agents that resolve exceptions with reasoning, and escalate to humans with full context when they can't.
Audit trails and SLAs
Every decision logged, every run measurable against SLAs, every outcome reviewable.
How it works
Where RPA breaks, agents reason
Rule-based automation shatters on the first unexpected input. Agentic workflows classify, decide and adapt — then escalate gracefully when confidence is low.
End-to-end runs
From intake to resolution without babysitting
Documents arrive, data gets extracted and validated, systems get updated, people get notified — one orchestrated flow with deterministic checkpoints where correctness is non-negotiable.
- Multi-system flows across email, ERP, CRM and ticketing
- Deterministic validation between probabilistic steps
- Idempotent writes and safe retries on every integration
Invoice exception workflowRunning
✓Extract invoice fields1.1s
✓Match against PO0.6s
Resolve mismatch with agentrunning
·Post to ERPqueued
Exception intelligence
The 20% of cases that consume 80% of effort
Mismatched invoices, incomplete forms, ambiguous requests — agents resolve what they can with reasoning and context, and hand the rest to humans with the analysis already done.
- Confidence-based routing between auto-resolve and review
- Escalations arrive with context, history and a proposed action
- Every human correction becomes training data for the next run
Summarize open claims above $50k and draft escalation emails.
query_claims_db
draft_email
✓ policy_check
Found 12 claims. 3 need escalation — drafts are ready for your review.
Human approval requiredReview →
Operational control
SLAs, audit trails and a kill switch
Operations leaders get dashboards of throughput, accuracy and cost per case; auditors get complete decision logs; and you keep manual override at every step.
- Per-step latency and outcome tracking against SLAs
- Immutable audit log of inputs, decisions and actions
- Pause, replay or manually complete any run
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Use cases
Where agentic workflows delivers value
Invoice and PO processing
Three-way matching with agent-resolved mismatches and clean ERP postings.
Claims intake and adjudication
Document intake, coverage verification and routing with fraud flags raised early.
Employee onboarding
Access, equipment, payroll and training coordinated across HR and IT systems.
Order exception management
Stock-outs, address issues and payment failures resolved before customers notice.
KYC and compliance checks
Document verification and screening with complete, audit-ready trails.
Report generation
Recurring operational and regulatory reports assembled, checked and distributed.
Delivery
How we build it
We start from the business outcome, then design agents, models, tools and guardrails that can survive production — not just a demo.
- Production-ready architecture
- Secure tool integrations
- Measurable business KPIs
- Operate & improve playbooks
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1
Discover
Map workflows, data, constraints and ROI.
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2
Architect
Define models, tools, memory and trust boundaries.
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3
Build
Ship a production-ready system with evals and observability.
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4
Scale
Optimize cost, quality and adoption across teams.
Our RPA bots broke every time a vendor changed an invoice layout. The agentic rebuild processes 84% straight-through and hands the rest to my team with the analysis already attached.
Works with your stack
Built on the tools you already run
We integrate with your models, clouds, data platforms and enterprise systems — no rip-and-replace.
- Anthropic Claude
- OpenAI
- LangGraph
- Temporal
- SAP
- Oracle
- NetSuite
- Salesforce
- ServiceNow
- Workato
- Kafka
- Postgres
FAQ
Common questions
How is this different from RPA?
RPA replays fixed clicks and breaks on variation. Agentic workflows understand intent: they read the document, decide what it means, act across systems and escalate when unsure. We often keep existing RPA for stable steps and wrap it in agentic decision-making.
What automation rate should we expect?
Well-suited processes typically reach 60–85% straight-through processing within a quarter, climbing as escalation feedback improves the system. We commit to targets per process after discovery.
Is it safe to let an agent write to our ERP?
Writes go through validated, idempotent integrations with schema checks before commit, and high-impact postings can require human approval. Every write is logged and reversible by design.
Which process should we automate first?
High volume, clear success criteria, painful manual effort, tolerable error cost. We run a one-week assessment that scores your candidate processes and picks the best starting point.
What happens when the agent gets something wrong?
Errors surface in monitoring, affected runs are replayable, and corrections feed back into evals so the same mistake doesn't recur. You always retain manual override.
Next step
Automate the process your team dreads
Bring us your messiest workflow — we'll map it, automate it and prove the numbers.