We document inputs, owners, exceptions, and the baseline metric before a model touches production work.
Active Ink Software / AI agent development studio
AI agents that move work through your business.
We design, build, integrate, and roll out AI agents that handle repeatable work in support, sales, documents, operations, analytics, and approvals. You bring the bottleneck; we ship a governed agent connected to your tools in 3-8 weeks.
Signed scopeWorking prototypeProduction rollout
3-8 wksfirst release2-4 toolsconnected10+ checksper test setWeeklyquality review
Agents connect to the systems your team already uses: CRM, helpdesk, email, docs, calendars, data, and internal APIs.
Every critical action gets tests, approval rules, logs, and rollback paths so autonomy can grow without drama.
We ship a handover pack, weekly review loop, and backlog for the next workflows worth automating.
Popular business scenarios
Start where the pain repeats every week.
The highest-return agent work usually appears in high-frequency workflows with clear inputs, visible outcomes, and a human escalation path.
First-line resolution agents
Deflect repetitive tickets, personalize answers from your knowledge base, and escalate messy cases with clean context.
Up to 75% auto-closure targetContract and invoice operators
Extract fields, validate terms, request missing data, draft closing documents, and route approvals without manual chasing.
10-50x faster document passCRM prep and follow-up crews
Summarize histories, score next best actions, generate outreach, update records, and flag deals that need a human nudge.
Minutes saved before every callLocal business coordinators
For restaurants, clinics, studios, and field teams: manage orders, schedules, stock signals, reviews, and routine requests.
Lower training loadDemand and anomaly scouts
Read business data, explain movement, detect unusual patterns, and prepare weekly decision briefs for managers.
Actionable reports on scheduleLLM risk sandboxes
Test agent behavior, simulate prompt attacks, audit tools, and keep high-impact actions behind approval gates.
Governed autonomyPilot snapshots
Concrete agent builds for everyday business pressure.
These snapshots show the kind of scoped, measurable projects we recommend before expanding into a larger agent system.
B2B servicesSupport agent + CRM
First-response agent for inbound requests
Reduce manager load, classify requests, draft answers, and create CRM records with the full conversation context.
62%tickets drafted18 minavg. first draft91%review pass rate
What was built
- Connected inbox, CRM, and knowledge base
- Added approval gate for refunds and escalations
- Built weekly quality dashboard
Finance opsDocument agent
Invoice and contract intake operator
Extract fields, check missing data, compare terms, and route approvals without manual chasing in spreadsheets.
4.7xfaster intake38%fewer rework loops100%audit trail
What was built
- Mapped intake rules and exception types
- Connected shared drive and approval channels
- Created quality test set for risky clauses
Local networkOperations coordinator
Schedule, stock, and review triage
Monitor routine requests from several locations and prepare actions for operators before the morning standup.
7 sitesone workflow31%less admin timeDailymanager brief
What was built
- Unified requests from forms and messengers
- Generated shift-ready action lists
- Escalated exceptions with source links
Productized implementation
Active Ink turns AI models into agents that can operate inside your business.
We combine agent design, systems integration, prompt and policy engineering, data grounding, evaluations, and change management so agents can safely act inside your business instead of living in a sandbox.
01Workflow discovery
02Agent role design
03CRM and API connectors
04Knowledge base grounding
05Approval and access gates
06Evaluation dashboards
07Launch playbooks
08Team enablement
Common integrationsHubSpotSalesforceZendeskIntercomGoogle WorkspaceSlackNotionAirtableCustom APIs
What ships
No black box. You get the agent, the controls, and the rollout kit.
Each build ends with a working system your team can inspect, approve, measure, and improve. The goal is not a clever demo; it is a business process with a new operator.
Goals, tools, memory rules, edge cases, escalation paths, and acceptance criteria.
A deployed agent flow connected to your tools, not a screenshot or prompt demo.
Realistic examples that catch bad answers, unsafe actions, and workflow regressions.
Training notes, owner checklist, metric dashboard, and improvement backlog.
Sample build boardSupport agent pilot
Week 1
Map support inbox, CRM fields, refund policy, and escalation owners
MappedWeek 2
Prototype agent answers on 120 historic cases with reviewer feedback
TestingWeek 3
Connect helpdesk, knowledge base, and draft-only CRM updates
LiveWeek 4
Add approval gate for refunds and weekly quality dashboard
NextDevelopment cycle
A loop, not a waterfall.
Every implementation runs through discovery, simulation, integration, governance, and measured expansion. The agent only gets more autonomy when evidence says it should.
Find the costly loop
We map the workflow, data sources, exceptions, owners, and baseline metrics before writing a single agent instruction.
Design the agent role
We turn the workflow into a job description: goals, allowed tools, escalation rules, memory, and failure modes.
Prototype with real cases
A small pilot runs on historic and live samples, with humans reviewing outputs and edge cases logged as tests.
Integrate the stack
The agent connects to CRM, ticketing, email, docs, calendars, analytics, databases, or internal APIs.
Govern the autonomy
We add evaluation sets, audit trails, approval checkpoints, access control, and rollback paths.
Scale the operating model
Once the metrics hold, we expand to more workflows, train teams, and maintain the agent like a business system.
Governed autonomy
Agents get a job description, a tool belt, and a manager.
TriggerNew customer issue
Agent workResearch, draft, update CRM
Human gateApprove refund or escalation
MeasurementQuality, speed, cost, CSAT
3-8 wksfirst release
2-4 toolsconnected
10+ checksper test set
Weeklyquality review
Client notes
"Active Ink did not sell us a chatbot. They redesigned the support workflow, measured the handoffs, and shipped an agent our team actually trusts."
Maya DonnellyCOO, Northline Commerce
"Our reps now start every call with a clean customer brief and suggested next move. The agent feels like an operations analyst that never forgets context."
Ethan BrooksHead of Sales, Vector Yard
"The document agent catches missing clauses, requests fixes, and prepares approvals. The best part is the audit trail, not the automation itself."
Priya RamanFinance Director, CivicStack
A small senior team for the messy middle between prompt and production.
Every build has a named owner for workflow design, integrations, evaluation, and rollout so the agent is useful to managers, operators, and reviewers.
Nadia Cole
Turns messy workflows into agent responsibilities, limits, and measurable launch criteria.
workflow designrisk gates
Jon Mercer
Connects agents to CRMs, helpdesks, spreadsheets, documents, calendars, and private APIs.
connectorsdata flow
Iris Reed
Builds test sets, review loops, audit trails, and launch dashboards for accountable autonomy.
quality testsQA systems
Sam Lane
Helps managers introduce the agent, train reviewers, and expand after the numbers hold.
enablementops rhythm
Pricing that matches rollout risk.
Start with one painful workflow, expand after the numbers hold, and keep governance visible from day one.
Pilot Sprint
$7.5k
3 weeks
One measurable workflow, scoped for a fast executive yes.
- Workflow audit
- One production-style prototype
- Human review loop
- ROI baseline
- Launch memo
Department Mesh
$24k
8 weeks
For teams that need agents inside daily operations.
- 2-4 connected agents
- CRM or ticketing integration
- Knowledge base grounding
- Evaluation dashboard
- Team training
Enterprise Fabric
Custom
Quarterly
For regulated, multi-team, or deeply integrated rollouts.
- Agent platform architecture
- Security and access model
- Private deployment options
- Governance board
- Continuous optimization
Questions leaders ask first
What changes when an agent moves from demo to work?
Where should we start?
Pick a workflow with high volume, measurable cost, clear inputs, and tolerable risk: support triage, document checks, CRM prep, weekly reporting, or content ops.
How do you prevent bad actions?
We constrain tools, separate read and write permissions, add approvals for sensitive actions, run evaluation sets, and keep every decision traceable.
Do we need perfect data?
No. We start by cleaning the minimum useful dataset, marking gaps, and designing the agent to ask for clarification instead of guessing.
What happens after launch?
We monitor quality, retrain workflows, update policies, and expand only when the agent beats the baseline on speed, accuracy, and team confidence.
Build the first revenue-ready agent
Tell us which process you want to automate. We will scope the agent build.
Get a focused AI agent pilot brief with use case priority, integration map, risk gates, metrics, timeline, and a build path your team can actually approve.
Reply within 1 business day30-minute workflow callWritten build recommendation
Office111 N Canal St, 12th FloorChicago, IL 60606
United States