Lama Consultants

01 What's my actual cycle time target — and is automation the way to hit it?

02 Where do bottlenecks form, and which ones are worth solving with robots?

03 How many operators stay, how many roles change, and who needs retraining?

04 Is the site actually ready — power, networking, floor quality, conveyors?

05 What's a realistic ROI timeline, and how do we measure it honestly?

06 What happens when the robot fails at 2am — who owns the escalation?

07 Who owns the data, where does it live, and what expires before you need it?

08 What breaks when you go from 2 robots to 20?

How we work.

We consult on a single stage or the entire pipeline — scope it to what you actually need.

00 TALK

Get on a call so we can understand where you are and where we can help.

Book a call

01 AUDIT

We visit your facility, map existing workflows, and identify where automation creates real value.

02 SPECIFY

We write the spec: robot selection, cell layout, safety requirements, integration points, timeline, and budget.

03 PILOT

Single-cell proof of concept on your floor. We validate cycle times, error rates, and operator acceptance before scaling.

stakeholder sign-off required

04 DEPLOY

LIVE

Full-scale rollout with minimal production downtime. We handle commissioning, operator training, and handover.

05 OPTIMIZE

Post-deployment monitoring, cycle-time tuning, and continuous improvement. We stay until the numbers prove it works.

WHY DEPLOYMENTS FAIL

0x Average timeline overrun on robotics deployments Industry deployment surveys

#1 Deployment blocker is site readiness — not the robot Field interviews, 15+ companies

0% of deployments fail to meet initial ROI targets McKinsey Manufacturing Survey

3-5x Integration cost vs. the price of the robot itself Robotics Industries Association

What we learned talking to robotics teams at every stage.

RAAS STARTUP Your site isn't ready: facilities keep pushing infrastructure readiness SITE PREP · FIELD NOTE

$500M+ FUNDED The sim-to-real gap nobody models: grease, snow, and uneven floors SIMULATION · LESSON

SEED STAGE When your OEM's BSP doesn't deliver: a 2-month delay we could have avoided INTEGRATION · CASE NOTE

SERIES B Fleet scaling feels like starting from scratch, every time. FLEET OPS · SCALING

SERIES D It is so hard to have everything documented on a deployment that everyone knows. FLEET OPS · SCALING

$1B+ VALUED Sensor data expires on the robot. By the time you need it, it's gone. OBSERVABILITY · DATA

SERIES A Manual calibration still takes 3–4 days per building. CALIBRATION · ANALYSIS

$500M+ FUNDED Operators, team leads, and plant managers all want different dashboards UX · DEPLOYMENT

PRE-SEED The supply chain problem: missing datasheets, handpicked samples, and 60% China sourcing SUPPLY CHAIN · HARDWARE